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On small perturbations of stable Markov operators: unbounded case
B. Delyona, A. Juditskyb a IRISA, France
b INRIA Rhône-Alpes, France
Abstract:
We consider the problem of estimating the bounds for generic expressions of the type $\mathbb{E}[\varphi(\gamma,X_1)\cdots\varphi(\gamma,X_{n})]$, where $(X_i)$ is a not necessarily bounded Markov process, $\varphi$ is a smooth function, and $\gamma$ is a small parameter. We show that when the chain $(X_i)$ is exponentially ergodic, some tight bounds can be obtained by small perturbation of the transition operator of the chain. The result is then applied to prove exponential convergence of matrix products and exponential inequalities for Markov chains.
Keywords:
random variables products, exponential inequalities for Markov chains.
Received: 09.04.1997
Citation:
B. Delyon, A. Juditsky, “On small perturbations of stable Markov operators: unbounded case”, Teor. Veroyatnost. i Primenen., 43:4 (1998), 752–764; Theory Probab. Appl., 43:4 (1999), 577–587
Linking options:
https://www.mathnet.ru/eng/tvp2076https://doi.org/10.4213/tvp2076 https://www.mathnet.ru/eng/tvp/v43/i4/p752
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