Introduction to stochastic processes (Record no. 7759)

MARC details
000 -LEADER
fixed length control field 02628nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250103183408.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781944660512
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.1
Item number CHE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Mu-Fa
245 ## - TITLE STATEMENT
Title Introduction to stochastic processes
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. World Scientific Publishing
Place of publication, distribution, etc. Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 230 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 1295.00
490 ## - SERIES STATEMENT
Series statement World Scientific Series on Probability Theory and Its Applications : Vol. 2
520 ## - SUMMARY, ETC.
Summary, etc. The objective of this book is to introduce the elements of stochastic processes in a rather concise manner where we present the two most important parts — Markov chains and stochastic analysis. The readers are led directly to the core of the main topics to be treated in the context. Further details and additional materials are left to a section containing abundant exercises for further reading and studying.<br/><br/>In the part on Markov chains, the focus is on the ergodicity. By using the minimal nonnegative solution method, we deal with the recurrence and various types of ergodicity. This is done step by step, from finite state spaces to denumerable state spaces, and from discrete time to continuous time. The methods of proofs adopt modern techniques, such as coupling and duality methods. Some very new results are included, such as the estimate of the spectral gap. The structure and proofs in the first part are rather different from other existing textbooks on Markov chains.<br/><br/>In the part on stochastic analysis, we cover the martingale theory and Brownian motions, the stochastic integral and stochastic differential equations with emphasis on one dimension, and the multidimensional stochastic integral and stochastic equation based on semimartingales. We introduce three important topics here: the Feynman–Kac formula, random time transform and Girsanov transform. As an essential application of the probability theory in classical mathematics, we also deal with the famous Brunn–Minkowski inequality in convex geometry.<br/><br/>This book also features modern probability theory that is used in different fields, such as MCMC, or even deterministic areas: convex geometry and number theory. It provides a new and direct routine for students going through the classical Markov chains to the modern stochastic analysis.<br/>(https://www.worldscientific.com/worldscibooks/10.1142/9903?srsltid=AfmBOoopnAMqYIUW_LQCMrB_jOj2gx530T5QcLQdJvYMKCeLdPYKmm1i#t=aboutBook)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic processes
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Markov renewal theory
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mao, Yong-Hua
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques TB3056 19-12-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/06/2025 Technical Bureau India Pvt. Ltd. 900.02   519.1 CHE 007033 01/06/2025 1 1295.00 01/06/2025 Book

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