Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Limit Law of the Local Linear Estimate of the Conditional Hazard Function for Functional Data

Version 1 : Received: 2 October 2020 / Approved: 6 October 2020 / Online: 6 October 2020 (09:18:49 CEST)
(This article belongs to the Research Topic EUSAR 2020—Preprints)

How to cite: Bouanani, O.; Guendouzi, A.; Chemikh, S. Limit Law of the Local Linear Estimate of the Conditional Hazard Function for Functional Data. Preprints 2020, 2020100093. https://doi.org/10.20944/preprints202010.0093.v1 Bouanani, O.; Guendouzi, A.; Chemikh, S. Limit Law of the Local Linear Estimate of the Conditional Hazard Function for Functional Data. Preprints 2020, 2020100093. https://doi.org/10.20944/preprints202010.0093.v1

Abstract

In this work, we treat a prediction problem via the conditional hazard function of a scalar response variable Y given a functional random variable X by using the local linear technique. The main purpose of this paper is to investigate the asymptotic normality of the nonparametric estimator of the conditional hazard function, under some general conditions. A simulation study, conducted to assess finite sample behavior, demonstrates the superiority of our method than the standard kernel method

Keywords

Functional data; Local linear estimation; Asymptotic normality; Conditional hazard function

Subject

Computer Science and Mathematics, Algebra and Number Theory

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.