Large Deviations for Discrete-Time Processes with Averaging
eBook - PDF

Large Deviations for Discrete-Time Processes with Averaging

  1. 192 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Large Deviations for Discrete-Time Processes with Averaging

Book details
Table of contents
Citations

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Yes, you can access Large Deviations for Discrete-Time Processes with Averaging by O. V. Gulinsky, A. Yu. Veretennikov in PDF and/or ePUB format, as well as other popular books in Matematica & Matematica generale. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2019
ISBN
9783110917802
Edition
1
Topic
Matematica
Subtopic
Matematica generale

Table of contents

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