<span>This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation. <br>The second volume presents a co
Nonlinearly perturbed semi-Markov processes
β Scribed by SilΚΉvestrov, DmitriΔ Sergeevich; Silvestrov, Sergei D
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 151
- Series
- SpringerBriefs in Probability and Mathematical Statistics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for getting asymptotic expansions, without and with explicit upper bounds for remainders, for power moments of hitting times, stationary and conditional quasi-stationary distributions for nonlinearly perturbed semi-Markov processes. These results are illustrated by asymptotic expansions for birth-death-type semi-Markov processes, which play an important role in various applications. The book will be a useful contribution to the continuing intensive studies in the area. It is an essential reference for theoretical and applied researchers in the field of stochastic processes and their applications that will contribute to continuing extensive studies in the area and remain relevant for years to come.
β¦ Table of Contents
Front Matter ....Pages i-xiv
Introduction (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 1-15
Laurent Asymptotic Expansions (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 17-35
Asymptotic Expansions for Moments of Hitting Times for Nonlinearly Perturbed Semi-Markov Processes (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 37-66
Asymptotic Expansions for Stationary Distributions of Nonlinearly Perturbed Semi-Markov Processes (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 67-79
Nonlinearly Perturbed Birth-Death-Type Semi-Markov Processes (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 81-106
Examples and Survey of Applied Perturbed Stochastic Models (Dmitrii Silvestrov, Sergei Silvestrov)....Pages 107-121
Back Matter ....Pages 123-143
β¦ Subjects
Markov processes;MATHEMATICS / Applied;MATHEMATICS / Probability & Statistics / General
π SIMILAR VOLUMES
<span>This book is the second volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation. <br>The second volume presents a co
<span>This book is the first volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation. <br>The first volume presents necess
<span>This book is the first volume of a two-volume monograph devoted to the study of limit and ergodic theorems for regularly and singularly perturbed Markov chains, semi-Markov processes, and multi-alternating regenerative processes with semi-Markov modulation. <br>The first volume presents necess
This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong M
<P>Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.</P> <P>The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.</P> <P>Presents homogeneous an