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Preprint ARTICLE | doi:10.20944/preprints202410.1985.v1

Median Based Unit Weibull (MBUW): A New Unit Distribution Properties

Iman Attia

Subject: Probability And Statistics, Computer Science And Mathematics Keywords: Median Based Unit Weibull (MBUW) distribution; ; new distribution; unit distribution

Online: 25 October 2024 (11:34:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.1897.v1

Probability via Expectation Measures

Peter Harremoës

Subject: Probability And Statistics, Computer Science And Mathematics Keywords: Category; double slit experiment; expectation measure; extended probabilistic power domain; expected value; Gaussian approximation; information divergence; monad; point process; Poisson distribution; Poisson point process; quantum information theory; thinning; valuation

Online: 24 October 2024 (10:27:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.1771.v1

Random Walk on T-Fractal with Stochastic Resetting

Xiaohan Sun, Anlin Li, Shaoxiang Zhu, Feng Zhu

Subject: Probability And Statistics, Computer Science And Mathematics Keywords: random walk; T-fractal; stochastic resetting; generating function; first passage time

Online: 24 October 2024 (03:14:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.1554.v1

A New One Parameter Unit Distribution: Median Based Unit Rayleigh (Mbur): Parametric Quantile Regression Model

Iman Attia

Subject: Computer Science And Mathematics, Probability And Statistics Keywords:

Parametric Quantile Regression Models; Median Based Unit Rayleigh (MBUR) distribution; one parameter new unit distribution; Leverberg-Marquardt algorithm; ; MLE

Online: 21 October 2024 (11:53:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0935.v1

Probability Paradoxes for Increasing Critical Thinking Skills

Priyantha Wijayatunga

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Probability paradoxes and puzzles; critical thinking; solving; exercises

Online: 14 October 2024 (05:41:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0885.v1

Modelling Lifetime Data and Athletes Red Cells Counts Using the New Topp-Leone-Lomax Poisson Distribution

Mavis Pararai, Fastel Chipepa

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Topp-Leone Lomax Distribution; Power Series Distribution; Maximum Likelihood Estimation; Poisson Distribution

Online: 11 October 2024 (09:12:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0748.v1

An Econometric Analysis of the Economic and Social Preferences in Energy-Saving Behavior Using a Structural Equation Modeling Approach

Cristian Busu, Mihail Busu, Stelian Grasu, Ilona Skackauskiene, Luis Miguel Fonseca

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Structural Equation Modeling (SEM); economic and social preferences; consumer choices; econ-ometric model; Partial Least Square (PLS)

Online: 10 October 2024 (09:07:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0448.v1

A Novel Unit Distribution Named as Median Based Unit Rayleigh (MBUR): Properties and Estimations

Iman Attia

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Median based unit Rayleigh (MBUR) distribution; new distribution; unit distribution; Maximum product of spacing; MLE

Online: 7 October 2024 (09:34:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0088.v1

Some Notes on the Gini Index and New Inequality Measures: The nth Gini Index

José Manuel Gavilan Ruiz, África Ruiz-Gándara, Francisco Javier Ortega Irizo, Luis Gonzalez Abril

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: inequality measures; mean difference; order statistics; rank-dependent inequality measurement

Online: 2 October 2024 (07:10:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2228.v1

Acceptance Sampling Plans Based on Conformance Probability—Inspection of Lots and Processes by Attributes

Steffen Uhlig, Bertrand Colson, Roger Kissling, Sam Ellis, Mike Hicks, John Vandenbemden, Francesca Pennecchi, Rainer Göb, Petra Gowik

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: acceptance sampling plan; conformity assessment; Bayesian statistics; producer's risk; consumer's risk; conformance probability; lot inspection by attributes

Online: 29 September 2024 (11:22:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2024.v1

Bias Analysis and Correction in Weighted-L1 Estimators for the First-Order Bifurcating Autoregressive Model

Tamer Elbayoumi, Sayed Mostafa

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bifurcating; Autoregressive; Singe Bootstrap; Fast Double Bootstrap

Online: 25 September 2024 (13:24:46 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.1014.v1

A Systematic Literature Review with Meta – Analysis of Predictive Modelling of Rift Valley Fever Outbreaks in East Africa: Machine Learning and Time Series Approaches

Damaris Felistus Mulwa, Benedicto Kazuzuru, Gerald Misinzo, Benard Bett

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: machine learning; time series; outbreak; inclusion criteria; PICOS; PRISMA

Online: 14 September 2024 (05:11:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1004.v1

Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments

Kieran Drury, Jim Q. Smith

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bayesian networks; dynamic Bayesian networks; decision support systems; expert judgement; elicitation; model libraries; missing data; crime intervention; causality

Online: 12 September 2024 (11:39:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0681.v1

An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance

Samir K. Safi, Sheema Gul

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Random Forest; Tree Selection; , Classification; Class-Imbalance Problem; Synthetic Data Generation

Online: 9 September 2024 (11:21:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0613.v1

A Distance Based One-Sample Test of Means Difference for Multivariate Datasets

Alexander Novoselsky, Eugene Kagan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: multivariate one-sample problem; multivariate means test; distance-based statistic

Online: 9 September 2024 (08:28:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0551.v1

Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling

Gurami Shalvovich Tsitsiashvili

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: product theorem; uniform distribution; Diophantine equation; transient intensity; controlled structure

Online: 6 September 2024 (16:51:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0369.v1

On the Calibration of the Kennedy Model

Dalma Tóth-Lakits, Miklós Arató

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Kennedy model; calibration; term structure model; option pricing; interest rate swap; Gaussian random field; Heath-Jarrow-Morton framework; HJM model

Online: 5 September 2024 (02:44:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0087.v1

Generalized Bayesian Inference Study Based on Type-II Censored Data from the Class of Exponential Distributions

Yahia Abdel-Aty, Mohamed Kayid, Ghadah Alomani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Generalized Bayesian estimators; generalized empirical Bayesian estimators; generalized Bayesian prediction; generalized empirical Bayesian prediction; learning rate parameter; prediction, type-II censored; Monte Carlo simulations

Online: 3 September 2024 (02:50:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2250.v1

On Properties of Karamata Slowly Varying Functions with Remainder and Their Applications

Azam Abdurakhimovich Imomov, Erkin E. Tukhtaev, János Sztrik

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Slowly varying function; integral representation; remainder; Landau symbols; stochastic branching systems; criticality; invariant distributions

Online: 2 September 2024 (12:06:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0029.v1

Generalized Bayesian Inference Study Based on Type-II Censored Data from Pareto Distribution

Ghadah Alomani, Yahia Awad, Mohamed Kayid

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Generalized Bayesian; learning rate parameter; Generalized Bayesian estimators; generalized empirical Bayesian estimators; generalized Bayesian prediction; generalized empirical Bayesian prediction; Simulation

Online: 2 September 2024 (08:54:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2259.v1

Probabilistic Cellular Automata Monte Carlo for the Maximum Clique Problem

Alessio Troiani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Maximum Clique Problem; Probabilistic Cellular Automata; Monte Carlo Markov Chain; QUBO; Parallel Computing

Online: 30 August 2024 (14:56:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2209.v1

Gumbel–Logistic Unit Distribution with Application in Telecommunications Data Modeling

Vladica S. Stojanović, Mihailo Jovanović, Brankica Pažun, Zlatko Langović

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Unit distributions; Gumbel distribution; generalized logistic map; asymmetry; parameter estimation; quantiles; telecommunications

Online: 30 August 2024 (09:38:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2017.v1

Equilibrium Strategies for Overtaking-Free Queueing Networks under Partial Information

David Barbato, Alberto Cesaro, Bernardo D’Auria

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: overtaking-free networks; equilibrium strategies; Jackson networks; tree networks

Online: 28 August 2024 (05:21:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1726.v1

A Bayesian Hierarchical Model for 2-by-2 Tables with Structural Zeros

Will Stamey, James D Stamey

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: meta-analytic prior; structural-zero; bayesian

Online: 23 August 2024 (11:44:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0982.v1

Information Properties of Consecutive Systems using Fractional Generalized Cumulative Residual Entropy

Mohamed Kayid, Mansour Shrahili

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: consecutive k-out-of-n:G systems; fractional generalized cumulative residual entropy; Shannon entropy; stochastic orders; real data ;

Online: 14 August 2024 (11:18:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0947.v1

Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral Sar Models

Carlo Grillenzoni

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Contiguity matrices; Consistent estimation; Spatial autoregression; Spatial data; Spatial forecasting.

Online: 13 August 2024 (13:03:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0724.v1

How Informative is the Marginal Information of a 2x2 Table for Assessing Association? The Aggregate Informative Index

Salman Cheema, Eric J Beh, Irene L. Hudson

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: ; aggregate data; aggregate association index; ecological inference; Pearson’ s chi-squared statistic ;

Online: 12 August 2024 (04:18:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0491.v1

Sustainable Enhancement of Statistical Literacy: Utilizing Data Analysis and Text Mining to Identify Statistical Issues

de la Hoz Ruiz, Raquel Hijón-Neira, Emma Howard

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: mathematics and statistics support; higher education; text mining; international networking; resource optimization; quality education

Online: 7 August 2024 (17:55:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0388.v1

Factor Analysis of Ordinal Items: Old Questions, Modern Solutions?

João Marôco

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Factor Analysis; Ordinal items; Maximum Likelihood; Polychoric correlations; Weighted Least Squares

Online: 6 August 2024 (06:19:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2222.v1

A-optimal Designs of High-Order Mixture Central Polynomial Model

Xiaoyuan Zhu, Honghua Hao, Chongqi Zhang

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: central polynomial model; A-optimal design; mixture model; A-efficiency; equivalence theorem

Online: 30 July 2024 (09:24:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1974.v1

Stochastic Extensions of the Elo Rating System

Gonzalo Gómez-Abejón, J.Tinguaro Rodríguez

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Rating Systems; Elo; Stochastic Processes; Sports Forecasting

Online: 25 July 2024 (11:01:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1927.v1

Meta-Analysis of Genuine and Fake p-Values

M. Fátima Brilhante, M. Ivette Gomes, Sandra Mendonça, Dinis Pestana, Rui Santos

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: combined p-values; fake p-values; Mendel random variables; meta-analysis

Online: 24 July 2024 (12:53:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1710.v1

Application Of Bayesian Networks For The Diagnosis Of Respiratory Conditions Using Symptom Data

Angel Raul Garcia-Jimenez, Angel Javier Quispe Carita, Aldair José Maquera Andrade, Beckham Vieri Chañi Pauccar

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bayesian Networks; Medical Diagnosis; Respiratory Conditions; Probabilistic Analysis

Online: 23 July 2024 (00:04:01 CEST)

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Este estudio examina la implementación de redes bayesianas para el diagnóstico de afecciones respiratorias utilizando datos clínicos. Se analizaron 5725 registros de una clínica privada en Francia, obtenidos de Kaggle, centrándose en seis variables clave: glucosa en sangre, frecuencia cardíaca, saturación de oxígeno, presión arterial, temperatura y estado de salud del paciente. El objetivo era crear un modelo que mejorara la precisión y eficiencia en el diagnóstico de infecciones respiratorias. Se desarrolló una red bayesiana para modelar las interacciones fisiológicas en condiciones respiratorias, destacando la influencia de la glucosa en sangre en la oxigenación y la interacción entre la frecuencia cardíaca y la saturación de oxígeno. La mediana de la temperatura corporal fue de 38,18 °C y la mediana de la frecuencia cardíaca fue de 92,00 lpm. El modelo, basado en sólidos principios médicos, considera tanto los mecanismos patológicos directos como las respuestas compensatorias del cuerpo. Se utilizó Netica para la simulación y análisis del modelo, proporcionando una visualización clara de las probabilidades condicionales y las relaciones entre las variables. Los hallazgos demuestran que las redes bayesianas son herramientas efectivas para apoyar el diagnóstico de afecciones respiratorias, proporcionando una evaluación integral del estado de salud del paciente. La matriz de confusión reveló una precisión del 94%, una especificidad del 100% y una sensibilidad del 86,53%. Además, la calidad de la prueba para el estado "enfermo" mostró una sensibilidad de hasta el 98,49% y una especificidad de hasta el 98,85%, con un área bajo la curva ROC (AUC) de 0,9592. Estos resultados indican que el modelo tiene un alto rendimiento en la clasificación correcta de los casos de salud y enfermedad normales. Este enfoque tiene el potencial de mejorar la precisión y la eficiencia del diagnóstico, especialmente en entornos clínicos que requieren decisiones rápidas y precisas. Este estudio destaca la aplicación innovadora de las redes bayesianas en medicina respiratoria, ofreciendo una herramienta prometedora para mejorar el diagnóstico y el manejo de pacientes con afecciones respiratorias, y estableciendo una base para futuras investigaciones en el uso de métodos probabilísticos en el diagnóstico médico.

Preprint ARTICLE | doi:10.20944/preprints202407.1735.v1

Improved Apriori Method for Safety Signal Detection using Post-Marketing Clinical Data

Reetika Sarkar, Jianping Sun

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: drug safety; association rule mining; Apriori; safety data; disproportionality measures; pharmacovigilance; co-occurrence analysis

Online: 22 July 2024 (17:35:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0277.v2

Generalizing the AUC-ROC for Unbalanced Data, Early Retrieval and Link Prediction Evaluation

Junda Chen, Alessandro Muscoloni, Ilyes Abdelhamid, Yue Wu, Carlo Vittorio Cannistraci

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: AUC-ROC; Slassification: Early retrieval evaluation; link prediction

Online: 22 July 2024 (10:08:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1690.v1

On the Non-Homogeneity of Markovian Manpower Model with Application

Elebe E. Nwezza, Kenneth I. Nwojiji, Christian Osagie, Uchenna U. Uwadi, Chukwuneye I. Okonkwo, Nnajiofor C. Nwezza

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Markovian model; Manpower planning; Sex heterogeneity; Time-homogeneity

Online: 22 July 2024 (09:44:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1684.v1

A Regularized Tree Forest for Classification in the Presence of Extreme Class Imbalance

Samir K. Safi, Sheema Gul

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: ; machine learning; optimal tree ensemble classifier; random forest; support vector machine; artificial neural network ;

Online: 22 July 2024 (07:13:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1547.v1

A U-Statistic for Testing Lack of Dependence in Functional Partially Linear Regression Model

Fanrong Zhao, Baoxue Zhang

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Asymptotic normality; Functional partially linear regression model; Nadaraya-Watson estimate; U-statistic

Online: 18 July 2024 (17:26:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1521.v1

Forecasting Temperature Trends Using SARIMAX: A Case Study in Ahmedabad City, India

Vyom Shah, Nishil Patel, Dhruvin Apurva Shah, Debabrata Swain, Manorama Mohanty, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: temperature forecasting; weather forecasting; time series; augmented Dickey-Fuller test; seasonal autoregressive integrated moving average with eXogenous factors (SARIMAX); root mean squared error; seasonality; climate change

Online: 18 July 2024 (14:27:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0693.v1

Explicit Solutions for Coupled Parallel Queues

Herwig Bruneel, Arnaud Devos

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: parallel queues; discrete-time; joint system-content distribution; explicit solutions

Online: 9 July 2024 (10:07:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0233.v1

Time-varying Correlations between JSE.JO Stock Market and its Partners Using Symmetric DCC Models

Anas Mohammed, Henry Mwambi, Bernard Omolo

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Multivariate GARCH; DCC model; EGARCH model; Time-varying correlation; volatility; Stock market; portfolio diversification

Online: 2 July 2024 (11:41:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0067.v1

Modified Liu Parameter in Scaling Options of the Multiple Regression Model with Multicollinearity Problem

Autcha Araveeporn

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Liu parameter; multicollinearity; multiple regression; Toeplitz correlation

Online: 1 July 2024 (15:02:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.2080.v1

Computational Test for Conditional Independence (with Categorical Variables)

Christian B. H. Thorjussen, Kristian Hovde Liland, Lars Erik Solberg, Ingrid Måge

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Conditional Independence; Computational Hypothesis Testing; Categorical Variables; Graphical Models; Causal Inference

Online: 29 June 2024 (00:26:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.2025.v1

MS 584 Expansions for the Conditional Distribution and Density of a Standard Estimate

Christopher Withers

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: conditional distribution; conditional density; standard estimate; extended Edgeworth expansions; extended Cornish-Fisher expansions.

Online: 28 June 2024 (08:28:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1660.v1

Bayesian Analysis of Exponentiated-Weibull Weibull Distribution for Modelling Student Dropout Times

Mohammed R. Alzahrani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bayesian Analysis; Student dropout time; Exponentiated Weibull Distribution; Time-to-event; Weibull distribution

Online: 24 June 2024 (08:15:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1530.v1

Rainbow Step Barrier Options

tristan guillaume

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: rainbow step barrier option; rainbow option; step barrier option; barrier option; multiasset option; multiasset barrier option; first passage time; boundary crossing probability; multidimensional Brownian motion

Online: 21 June 2024 (12:53:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1064.v1

Just Impute, the Details Don’t Matter?! Quantifying the Influence of (Mostly) Arbitrary Decisions on the Quality of Imputation Results

Felix Bittmann

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: MICE; missing data; imputation; item-nonresponse; simulation study; dominance analysis

Online: 17 June 2024 (08:33:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0833.v1

Default Risk With Imperfect Information Under Regime-Switching Model

Ashwaq Ali Zarban, David Colwell, Donna Mary Salopek

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Risky Debt; Imperfect Information; Interest rate; Regime Switching

Online: 12 June 2024 (17:53:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0618.v1

Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems

Irina Bashkirtseva

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Stochastic equilibria; multiplicative noise; second moments; approximations; dispersion

Online: 11 June 2024 (10:57:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0587.v1

Reliability Analysis of Distorted Distributions using Aging Intensity Function

Mohamed Kayid, Raghad Almohsen, Zahra Kaabi

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Semiparametric family; aging intensity; relative order; stochastic order; preservation

Online: 10 June 2024 (13:51:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0366.v1

Correspondence Analysis for Assessing Departures from Perfect Symmetry Using the Cressie-Read Family of Divergence Statistics

Eric J Beh, Rosaria Lombardo

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bowker's chi-squared statistic; correspondence analysis; Cressie-Read family of divergence statistics; singular value decomposition

Online: 6 June 2024 (11:29:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0260.v1

Laplace-Logistic Unit Distribution with Application in Dynamic and Regression Analysis

Vladica S. Stojanović, Tanja Jovanović Spasojević, Mihailo Jovanović

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: unit distributions; Laplace distribution; generalized logistic map; stochastic properties; parameter estimation; quantiles; dynamics; regression

Online: 5 June 2024 (10:25:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2078.v1

Fuzzy Fractional Brownian Motion: Review and Extension

Georgy Urumov, Panagiotis Chountas, Thierry Chaussalet

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: fuzzy; fractional; Brownian motion

Online: 31 May 2024 (09:13:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2029.v1

Weighted Ranked Set Sampling for Skew Distributions

Dinesh S Bhoj, Girish Chandra

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: rdered observations; Neyman’s allocation; Relative precision; Skewness; Unbiased estimator; Weight

Online: 30 May 2024 (13:27:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1385.v2

Temporal Analysis of Vaccine Adverse Effects for Causation Inference

Carla Sofia Carvalho

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: vaccine fatality rate; causation inference

Online: 23 May 2024 (11:05:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1180.v1

Fractional Operators and Fractionally Integrated Random Fields on Z

Donatas Surgailis, Vytautė Pilipauskaitė

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: fractional differentiation/integration operators; tempered fractional operators; fractional random field; random walk; limit theorems; long-range dependence; negative dependence; conditional autoregression

Online: 21 May 2024 (10:34:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1022.v1

Robustness of Bayesian Random Forest in High-Dimensional Analysis with Missing Data

Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Robust Estimation; Missing data; Bayesian Random Forest; High-dimensional Analysis; Random Forest

Online: 16 May 2024 (08:21:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1859.v1

A Streaming Algorithm for a Fast, Robust, and Memoryless Median Estimation on Sensor Data

Ariel Burman, Jordi Solé-Casals, Sergio E. Lew

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: median; estimator; on-line; neural recordings

Online: 29 April 2024 (10:24:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1843.v1

Randomly Stopped Sums, Minima and Maxima for Heavy-tailed and Light-Tailed Distributions

Remigijus Leipus, Jonas Šiaulys, Svetlana Danilenko, Jūratė Karasevičienė

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: heavy tail; light tail; randomly stopped sums; randomly stopped minima; randomly stopped maxima

Online: 28 April 2024 (08:28:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1776.v1

Bayesian Identifying One or Two Close Sources by Gaussian Estimates of Planar Location under Double Emission

Oleg I. Gerasimov

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: separation to the sources location; probability of estimates resolving; Statistical Resolution Limit; Bayesian inference; identification probability of one/two sources

Online: 26 April 2024 (20:09:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0285.v2

Non-Negative Decomposition of Multivariate Information: from Minimum to Blackwell Specific Information

Tobias Mages, Elli Anastasiadi, Christian Rohner

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: partial information decomposition; redundancy; synergy; information flow analysis; f-information; ré; nyi-information

Online: 25 April 2024 (14:18:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1606.v1

A Primer on Dominance Analysis

Felix Bittmann

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: dominance analysis; regression; variance decomposition

Online: 24 April 2024 (14:06:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1204.v1

A Novel Version Three Parameter Nadarajah Haghighi Model: Entropy Measures, Inference and Applications

Fatimah M. Alghamdi, Mohammed Amine Meraou, Hassan M. Aljohani, Mahmoud Abdelraouf, Fathy H. RIAD, Sara Mohamed Ahmed Alsheikh, Meshayil M. Alsolmi

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Asymmetric dataset; Heavy tailed; MLE procedure; Nadarajah Haghighi; Simulation experiments; Survival function; Symmetric dataset

Online: 18 April 2024 (13:49:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1010.v1

Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation

Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani, Mohammed R. Alzahrani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Eigenvalue; Confusion Matrix; Random matrix; Probability distribution; Evaluation metrics

Online: 16 April 2024 (07:37:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0965.v1

Copula-Probabilistic Flood Risk Analysis with Hourly Flood Monitoring Index

Ravinesh Chand, Thong Nguyen-Huy, Ravinesh C Deo, Sujan Ghimire, Mumtaz Ali, Afshin Ghahramani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: flood characteristics; flood monitoring; hourly flood index; joint distribution; risk mitigation; vine copulas

Online: 15 April 2024 (11:36:26 CEST)

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Floods are a common natural disaster whose severity in terms of duration, water resource volume, peak and accumulated rainfall-based damage are likely to differ significantly for different geographical regions. In this paper, we first propose a novel hourly flood index (SWRI24−hr−S), derived from normalising the existing 24-hourly water resources index (WRI24−hr−S) in literature, to monitor flash flood risks on an hourly scale. The proposed SWRI24−hr−S is adopted to identify a flood situation and derive its characteristics, such as the duration (D), volume (V) and peak (Q). The comprehensive result analysis establishes the practical utility of SWRI24−hr−S in identifying flood situations at seven study sites in Fiji between 2014 and 2018 and deriving their characteristics (i.e., D, V, and Q). Secondly, this study develops a vine copula-probabilistic risk analysis system that models the joint distribution of flood characteristics (i.e., D, V, and Q) to extract their joint exceedance probability for the seven study sites in Fiji, enabling probabilistic flood risk assessment. The vine copula approach, particularly suited to Fiji’s study sites, introduces a novel probabilistic framework for flood risk assessment. The results show moderate differences in the spatial patterns of joint exceedance probability of flood characteristics in different combination scenarios generated by the proposed vine copula approach. In the worst-case scenario, the probability of any flood event occurring where the flood volume, peak and duration are likely to exceed the 95th-quantile value (representing an extreme flood event) is found to be less than 5% for all study sites. The proposed hourly flood index and the vine copula approach can be feasible and cost-effective tools for flood risk monitoring and assessment. The methodologies proposed in this study can be applied to other data-scarce regions where only rainfall data is available, offering crucial information for flood risk monitoring, assessment, and the development of effective mitigation strategies.

Preprint ARTICLE | doi:10.20944/preprints202404.0545.v1

Birth-Death Processes with Two-type Catastrophes

Junping Li

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Birth-death process; Catastrophe; Laplace transform; Probability density function

Online: 8 April 2024 (16:02:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0525.v1

Assessing the Predictive Power of Machine Learning Models for Wind Speed Prediction under Different Weather Conditions

Fhulufhelo Walter Mugware, Caston Sigauke, Thakhani Ravele

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Air pollution; Global warming; Fossil fuels; Renewable energy; Carbon emissions; volatility; Reliability; Machine learning; ANN; CNN

Online: 8 April 2024 (11:22:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0146.v1

Bayesian Inference for Multiple Datasets

Renata Retkute, William Thurston, Christopher A. Gilligan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: parameter estimation; adaptive multiple importance sampling; effective sample size; wind direction; pest invasion

Online: 2 April 2024 (07:17:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1554.v1

Computation of The Mann-Whitney Effect under Parametric Survival Copula Models

Kosuke Nakazono, Yu-Cheng Lin, Gen-Yih Liao, Ryuji Uozumi, Takeshi Emura

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: censoring; copula; Hand’s paradox; potential outcome; Mann-Whitney effect; stress-strength model; two-sample comparison; survival analysis; survival function; treatment effect

Online: 26 March 2024 (09:41:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1027.v1

Exploring Multivariate Statistics: Unveiling the Power of Eigenvalues in Wishart Distribution Analysis

Randa A. Makled, Weihu Cheng

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Energy Distance, Energy Statistic, Wishart distributions, Goodness of Fit, high-dimensional data.

Online: 18 March 2024 (11:36:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1020.v1

A Generalized Residual-Based Test for Fractional Cointegration in Panel Data with Fixed Effects

Saidat Fehintola Olaniran, Oyebayo Ridwan Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Mohd Tahir Ismail

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: fractional cointegration, Residual-based test, panel data model, fixed effects, Asymptotic theory

Online: 18 March 2024 (09:46:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0699.v1

Forecasting the Performance of the Energy Sector at the Saudi Stock Exchange Market by Using GBM and GFBM

Mohammed Alhagyan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Energy sector; GBM; GFBM; stochastic ; volatility

Online: 14 March 2024 (05:53:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0661.v1

New Goodness-of-Fit Tests for the Kumaraswamy Distribution: A Simulation Study

David E. Giles

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: goodness-of-fit testing; empirical distribution function; Kumaraswamy distribution

Online: 11 March 2024 (18:09:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0511.v1

Should the Choice of BOIN Design Parameter p.tox only Depend on the Target DLT Rate?

Rong Lu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: dose-finding; Bayesian optimal interval design; R package BOIN

Online: 8 March 2024 (10:01:35 CET)

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IMPORTANCE: On December 10, 2021, the FDA published a Determination Letter, along with a Statistical Review and Evaluation Report, and concluded that under the non-informative prior, the local Bayesian optimal interval design (BOIN) design, in its revised form, can be designated fit-for-purpose for identifying the maximum tolerated dose of a new drug, assuming that dose-toxicity relationship is monotonically increasing. Although setting the BOIN design parameter p.tox = 1.4 * target.DLT.rate is recommended in almost all BOIN methodology articles and is the default value in the R package BOIN, it's unclear if the choice of p.tox should only depend on the target DLT rate and if certain range of p.tox could produce the same BOIN boundary table. DESIGN: In this simulation study, following parameters were varied one at a time, using R package BOIN, to explore their effects on the equivalence intervals of p.saf and p.tox: 1) target DLT rate, 2) n.earlystop, 3) cutoff.eli, 4) cohortsize, and 5) ncohort. And a simple 3+3 design was used as an example to explore equivalent sets of BOIN design parameters that can generate the same boundary table. RESULTS: When the early stopping parameter n.earlystop is relatively small or the cohortsize value is not optimized via simulation, it might be better to use p.tox < 1.4 * target.DLT.rate, or try out different cohort sizes, or increase n.earlystop, whichever is both feasible and provides better operating characteristics. This is because if the cohortsize was not optimized via simulation, even when n.earlystop = 12 and cohortsize > 3, the BOIN escalation/de-escalation rules generated using p.tox = 1.4 * target.DLT.rate could be exactly the same as those calculated using p.tox > 3 * target.DLT.rate, which might not be acceptable for some pediatric trials targeting 10% DLT rate. The traditional 3+3 design stops the dose finding process when 3 patients have been treated at the current dose level, 0 DLT has been observed, and the next higher dose has already been eliminated. If additional 3 patients were required to be treated at the current dose in the situation described above, the decision rules of this commonly used 3+3 design could be generated using BOIN design with target DLT rates ranging from 18% to 29%, p.saf ranging from 8% to 26%, and different p.tox values ranging from 39% to 99%. These BOIN parameters also need to satisfy a set of conditions. Meaning: This study demonstrates the importance of interpreting BOIN design parameter p.tox as an interval of toxicity rates that are considered too toxic, rather than one prespecified value that corresponds to the lowest toxicity probability that is deemed overly toxic. When designing a dose-finding trial using BOIN, it is important to perform simulation studies to identify equivalent sets of BOIN design parameters that can generate the same boundary table so that we can better compare the safety properties of different boundary tables.

Preprint ARTICLE | doi:10.20944/preprints202403.0423.v1

A Computational Procedure for Testing Conditional Independence in Causal Directed Acyclic Graphs

Christian B. H. Thorjussen, Kristian Hovde Liland, Lars Erik Solberg, Ingrid Måge

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Causal Inference; Modeling; Conditional Independence; Directed Acyclic Graph

Online: 7 March 2024 (11:07:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0285.v1

Non-Negative Decomposition of Multivariate Information: From Minimum to Blackwell Specific Information

Tobias Mages, Elli Anastasiadi, Christian Rohner

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: partial information decomposition; redundancy; synergy; information flow analysis; f-information; rényi-information

Online: 6 March 2024 (07:22:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0195.v1

5th Order Multivariate Edgeworth Expansions for Parametric Estimates

Christopher Withers

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Edgeworth expansions; parametric inference; standard estimates; ; chain rules for cumulant coefficients; channel capacity

Online: 5 March 2024 (09:16:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1545.v1

Queuing-Inventory System with Catastrophes in the Warehouse: Case Rare Catastrophes

Agassi Melikov, Laman Poladova, Janos Sztrik

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: queuing-inventory system; catastrophes; finite waiting room; steady-state probabilities; space merging method; calculation algorithm

Online: 27 February 2024 (12:39:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1537.v1

Predicting Closing Price of Cryptocurrency Ethereum

Thakhani Ravele, Caston Sigauke, Vhukhudo Ronny Rambevha

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Cryptocurrency; Ethereum; Machine learning models; Natural language processing; Recurrent neural network

Online: 27 February 2024 (12:25:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1086.v1

Revolutionary Analysis of the Pointwise Stationary Fluid Flow Approximation model of the non-stationary queue with Pointwise Stationary Fluid Flow Approximation applications to the Internet of Things

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Time Varying ; queue; modelling; simulation; Pointwise Fluid Flow Approximation (PSFFA)

Online: 20 February 2024 (11:25:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1058.v1

The Dependence Structure of Hamiltonians of the SK-Model

Zhaoxu Wang, Xijuan NIu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: SK model; Hamiltonians; rank; covariance matrix

Online: 20 February 2024 (06:10:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0979.v1

Kullback-Leibler Divergence(KLD) Formalism of The Stable Queue with KLD Applications to Biometrics

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Queue; server utilization (SU); short-range interactions; probability density function(PDF); Kullback-Leibler divergence formalism (KLDF); non-extensive maximum extropy(NME); extensive maximum entropy(EME); Biometrics

Online: 19 February 2024 (14:51:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1021.v1

The Infinite-Phased Root Parameter for the G1/M/1 Pointwise Stable Fluid Flow Approximation (PSFFA) Model of the Non-Stationary E_k/M/1 Queue with PSFFA Applications to Hospitals’ Emergency Departments

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Hospital emergency departments; Non-stationary ; queue; PSFFA; state variable; k number of phases

Online: 19 February 2024 (07:37:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0843.v1

Robust Estimations from Distribution Structures: II. Central Moments

Tuobang Li

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: moments; invariant; unimodal; U -statistics; generalized L-statistics

Online: 15 February 2024 (12:22:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0817.v1

Robust Estimations from Distribution Structures: III. Invariant Moments

Tuobang Li

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: moments; invariant; unimodal; adaptive estimation; U-statistics

Online: 14 February 2024 (14:07:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0548.v2

Ismail’s Ratio Conquers New Horizons the Non-stationary M/D/1 Queue’s State Variable Closed Form Expression

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Time Varying ; queueing system; number of customers; mean arrival rate; time; The Pointwise Stionary Fluid Flow Approximation(PSFFA); Time Varying queueing systems(TVQSs)

Online: 12 February 2024 (12:12:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0336.v1

A Stochastically Correlated Bivariate Square-root Model

Allan Jonathan Da Silva, Jack Baczynski, José Valentim Machado Vicente

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Stochastic correlation; CIR model; conditional characteristic functions; Stochastic Differential Equation; Financial modeling; Option pricing; COS method

Online: 6 February 2024 (07:26:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0038.v1

On the Trio Unification of Information Geometry, Einsteinian Relativity, and Transient Queues the Parthasarathian Case

Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Transient M/M/1; IG, statistical manifold (SM); QM; Geodesic equations of motion; ; Riemannian metric (RM); Fisher Information matrix (FIM); Inverse Fisher Information matrix (IFIM); threshold theorem

Online: 2 February 2024 (06:34:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2092.v1

On the Kullback-Leibler Divergence Formalism (Kldf) of the Stable Mg1 Queue Manifold, Its Information Geometric Structure and Its Matrix Exponential

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Queue; server utilisation (SU); short-range interactions; Ricci Curvature Tensor (RCT)

Online: 31 January 2024 (01:55:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2071.v1

A Quantitative Comparison of Mortality Models with Jumps: Pre- and Post-COVID Insights on Insurance Pricing

Şule Şahin, Selin Özen

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: COVID-19, mortality jump models, renewal process, pandemics, transitory jumps

Online: 30 January 2024 (09:34:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2055.v1

Maximum Ismail’s Second Entropy Formalism of Heavy-Tailed Queues with Hurst Exponent Heuristic Mean Queue Length Combined with Potential Applications of Hurst Exponent to Social Computing and Connected Health

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Queue, Noros Mean Queue Length, stable M/G/1 queue, Ismail&rsquo; s second entropy.

Online: 30 January 2024 (08:45:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2013.v1

Information Data Length Theory for the Transient

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Information data length; transient queues; M/M/ Infinity Queueing System

Online: 29 January 2024 (12:59:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1994.v1

Information Geometric Analysis of the Dynamics of M/M/∞ Transient Queue Manifold

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Transient , information geometry (IG), statistical manifold (SM), M/M/ Infinity queue manifold (QM), Geodesic equations of motion, Ricci Curvature (RC), Einstein Tensor, Stress Energy Tensor, Riemannian metric (RM), Fisher Information matrix (FIM), Inverse Fisher Information matrix (IFIM), threshold theorem

Online: 29 January 2024 (08:44:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1996.v1

On the Rényi Entropy Functional, Tsallis Distributions and Lévy Stable Distributions

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Shannon entropy functional; Ré; nyi entropy functional; Tsallis non-extensive entropy functional; Lé; vy stable distributions

Online: 29 January 2024 (06:46:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1835.v1

Effect of the root parameter on the stability of the Non-stationary D/M/1 queue’s GI/M/1 model with PSFFA applications to the Internet of Things (IoT)

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: State variable; mean arrival rate; time; time dependent root parameter; PSFFA; IoT

Online: 26 January 2024 (02:00:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1813.v1

Info- Geometric Analysis of the Stable Queue Manifold Dynamics With Queue Applications to E-health

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Stable ; queue; Service times(ST); service utilization ; (SU); Fisher information matrix(FIM); FIM exponential matrix of the queue manifold

Online: 25 January 2024 (10:46:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1531.v2

A Measure of Synergy Based on Union Information

André F. C. Gomes, Mário A. T. Figueiredo

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: information theory; partial information decomposition; union information; synergy; communication channels.; mutual information

Online: 25 January 2024 (09:11:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1531.v1

A Measure of Synergy Based on Union Information

André F. C. Gomes, Mário A. T. Figueiredo

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: information theory; partial information decomposition; union information; synergy; communication channels.; mutual information

Online: 22 January 2024 (09:29:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1119.v1

g.ridge: An R Package for the Generalized Ridge Regression for Sparse and High-Dimensional Linear Models

Takeshi Emura, Koutarou Matsumoto, Ryuji Uozumi, Hirofumi Michimae

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Cross-validation; High-dimensional data; Least squared estimator; Mean square error; Penalized regression; R package; Shrinkage estimator; Sparse model

Online: 15 January 2024 (10:49:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0813.v1

Applied Bootstrap Analysis With Imputed Data in Stata

Felix Bittmann

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: bootstrapping; multiple imputation; MICE; stata; missing data

Online: 10 January 2024 (10:22:49 CET)

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Computer Science and Mathematics