Table of Contents: Large Deviations for Discrete-Time Processes with Averaging /

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Bibliographic Details
Superior document:	Title is part of eBook package: De Gruyter DGBA Mathematics - 1990 - 1999
VerfasserIn:	Gulinsky, O. V., Veretennikov, A. Yu.,
Place / Publishing House:	Berlin ;, Boston : : De Gruyter, , [2019] ©1993
Year of Publication:	2019
Edition:	Reprint 2018
Language:	English
Online Access:	https://doi.org/10.1515/9783110917802 https://www.degruyter.com/isbn/9783110917802 Cover
Physical Description:	1 online resource (186 p.) :; Num. figs.
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Table of Contents:

Frontmatter
Contents
Preface
Chapter 1. Introduction to large deviations
Chapter 2. Large deviations for the non-markovian recursive scheme with additive svhite noise'
Chapter 3. Large deviations for the recursive scheme with stationary disturbances
Chapter 4. Generalization of cramer's theorem
Chapter 5. Mixing for markov processes
Chapter 6. The averaging principle for some recursive stochastic schemes with state dependent noise
Chapter 7. Normal deviations
Chapter 8. Large deviations for markov processes
Chapter 9. Large deviations for stationary processes
Chapter 10. Large deviations for empirical measures
Chapter 11. Large deviations in averaging principle
Bibliography