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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

 
 

 

The uniform CLT for empirical estimator of a general state space semi-Markov kernel indexed by functions


Authors: S. Bouzebda and N. Limnios
Journal: Theor. Probability and Math. Statist. 96 (2018), 15-26
MSC (2010): Primary 60J28, 60K15, 60G09, 62F40
DOI: https://doi.org/10.1090/tpms/1031
Published electronically: October 5, 2018
MathSciNet review: 3910751
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Abstract: In this paper we mainly deal with the uniform CLT for empirical estimator of a general state space semi-Markov process indexed by functions under the uniformly integrable entropy condition. A way to describe the uniform CLT is to translate the problem into martingale difference sequences to obtain the desired results.


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Additional Information

S. Bouzebda
Affiliation: Sorbonne Universités, Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne, Rue du Dr Schweitzer, CS 60319, 60205 Compiegne Cedex, France
Email: salim.bouzebda@utc.fr

N. Limnios
Affiliation: Sorbonne Universités, Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne, Rue du Dr Schweitzer, CS 60319, 60205 Compiegne Cedex, France
Email: nikolaos.limnios@utc.fr

Keywords: Semi-Markov process, semi-Markov kernel, empirical estimator, uniform central limit theorem, invariance principle
Received by editor(s): February 7, 2017
Published electronically: October 5, 2018
Article copyright: © Copyright 2018 American Mathematical Society