Title
On general bootstrap of empirical estimator of a semi-Markov kernel with applications
Abstract
The aim of this paper is to introduce a general bootstrap by exchangeable weight random variables for empirical estimators of the semi-Markov kernels and of the conditional transition probabilities for semi-Markov processes with countable state space. Asymptotic properties of these generalized bootstrapped empirical distributions are obtained by a martingale approach. We show how to apply our results to the construction of confidence intervals and change point problem where the limiting distribution of the proposed statistic is derived under the null hypothesis.
Year
DOI
Venue
2013
10.1016/j.jmva.2012.11.008
J. Multivariate Analysis
Keywords
Field
DocType
general bootstrap,change point problem,generalized bootstrapped empirical distribution,empirical estimator,confidence interval,asymptotic property,semi-markov kernel,conditional transition probability,exchangeable weight,countable state space,semi-markov process,confidence intervals,invariance principle,bootstrap
Econometrics,Martingale (probability theory),Random variable,Statistic,Markov kernel,Statistics,State space,Mathematics,Bootstrapping (electronics),Estimator,Asymptotic distribution
Journal
Volume
ISSN
Citations 
116,
0047-259X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Salim Bouzebda111.10
Nikolaos Limnios2836.93