Bernstein polynomial of recursive regression estimation with censored data

In this paper, we deal with the problem of the regression estimation near the edges under censoring. For this purpose, we consider a new recursive estimator based on the stochastic approximation algorithm and Bernstein polynomials of the regression function when the response random variable is subje...

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Bibliographic Details
Published in:	Stochastic models Vol. 38; no. 3; pp. 462 - 487
Main Author:	Slaoui, Yousri
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis 03.07.2022 Taylor & Francis Ltd
Subjects:	Algorithms Asymptotic convergence Bernstein polynomial censored data Censored data (mathematics) Estimators Mathematics nonparametric regression estimation Nonparametric statistics Polynomials Random variables Regression Statistics stochastic approximation algorithm stochastic approximation algorithm censored data nonparametric regression estimation Asymptotic convergence Bernstein polynomial
ISSN:	1532-6349, 1532-4214
Online Access:	Get full text
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