<p><B>Markov Chains and Stochastic Stability</B> is part of the <I>Communications and Control Engineering Series</I> (<I>CCES</I>) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over
Strong Stable Markov Chains
โ Scribed by N. V. Kartashov
- Publisher
- De Gruyter
- Year
- 1996
- Tongue
- English
- Leaves
- 144
- Edition
- Reprint 2018
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Contents
Preface
Chapter I.Uniformly ergodic and strong stable markov chains
Chapter II. Criteria for the uniform ergodicity and its properties
Chapter III. Uniform estimates of convergence in ergodic and stability theorems
Chapter IV. Asymptotic expansions in ergodic and stability theorems
Chapter V. Strong stability and induced norm of perturbation
Chapter VI. Uniform consolidation theorems
Chapter VII. Estimates of the exponential asymptotic of markov moments
Chapter VIII. Stability of waiting times in a queuing system
Chapter IX. Inequalities in renyi's theorem
Chapter X. Bibliographical notes
References
๐ SIMILAR VOLUMES
<p><B>Markov Chains and Stochastic Stability</B> is part of the <I>Communications and Control Engineering Series</I> (<I>CCES</I>) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over
The area of Markov chain theory and application has matured over the past 20 years. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory.
Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition. The pursuit of more efficient simulation algorithms for complex Markovian models, or algo