Normal view MARC view ISBD view

Introduction to stochastic processes

By: Chen, Mu-Fa.
Contributor(s): Mao, Yong-Hua.
Series: World scientific series on probability theory and its applications, 2737-4467 ; v2.Publisher: New Jersey : World Scientific, 2023Description: xiii, 230 p. ; ill., 23 cm.ISBN: 9781944660512.Subject(s): Markov chains | Differential equations | Branching process | Brunn-Minkowski's inequality | Collapse theorem | Doob's stopping theorem | Economic model | Ergodicity | Feynmann-Kac formula | Gronwall's lemma | Hamilton -Jacobi-Bellman equation | Ito's formula | Kolmogorov backward equation | Person-Frobenius theorem | Queueing theory | Single birth process | Transition probability matrix | UniquenessDDC classification: 519.23 Summary: The book is so concise to cover the most important parts in stochastic processes: Markov chains and stochastic analysis. Some modern and new materials are included, such as the estimation of the first non-trivial eigenvalue and the Brunn-Minkowski inequality. The book provides abundant exercises for students, regarded as supplements to the main body of the book as well.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode
Books 519.23 CHE (Browse shelf) Available 033842

Includes bibliographical references and index.

The book is so concise to cover the most important parts in stochastic processes: Markov chains and stochastic analysis. Some modern and new materials are included, such as the estimation of the first non-trivial eigenvalue and the Brunn-Minkowski inequality. The book provides abundant exercises for students, regarded as supplements to the main body of the book as well.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha