HernandezLerma, Onesimo

Markov Chains and Invariant Probabilities (Progress in Mathematics)

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ISBN 13:
9783034894081
author:
HernandezLerma, Onesimo
format:
Paperback
publisher:
Springer Basel
language:
English
Publication Year:
2012
Pages:
208
Dimensions:
23.4 x 15.6 x 1.2 centimetres (0
Genre:
Business, Operations, Operations Research,
Condition:
New
Availability:
Item usually sent within 5 working days
£54.54

Description

Markov Chains and Invariant Probabilities by Onesimo Hernandez-Lerma and Jean B. Lasserre provides an in-depth exploration of discrete-time Markov chains, focusing on their ergodic behavior and stability. A Markov chain is defined as a sequence of random states, where the probability of transitioning from one state to another is governed by a transition probability function. The concept of stability is central to this book, which examines the existence of an invariant probability measure that satisfies a specific condition. This condition ensures that the probability of transitioning from any state to another is consistent with the overall distribution of probabilities. By delving into the properties and behavior of stable Markov chains, this book offers a comprehensive understanding of these mathematical models, making it an essential resource for those working in fields such as mathematics, probability, business, economics, operations research, science, physics, and computational mathematics.

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