Large Deviations for Discrete-Time Processes with Averaging / / O. V. Gulinsky, A. Yu. Veretennikov.

• 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
• Physical Description: 1 online resource (186 p.) :; Num. figs.
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110917802; 9783110637199
• DOI: 10.1515/9783110917802
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: O. V. Gulinsky, A. Yu. Veretennikov.