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Markov Chains and Mixing Times - Mathematics Textbook

Amazon

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Description

Explore the modern theory of Markov chains with this comprehensive text from the American Mathematical Society. This book focuses on determining the rate of convergence to the stationary distribution as a function of state space size and geometry. It provides a deep look into topics that connect closely with combinatorics, statistical physics, and theoretical computer science. Readers will learn how to use central tools for estimating convergence times, including spectral methods, coupling, and strong stationary times. The text applies these mathematical techniques to real-world examples such as the Ising model and card shuffling, making it a valuable resource for those studying probability and statistics.

Key Features

This book provides an introduction to the modern theory of Markov chains and convergence rates.

Learn to use central estimation tools including coupling, strong stationary times, and spectral methods.

Explore mathematical connections to statistical physics, combinatorics, and theoretical computer science.

Study practical examples of these theories including the Ising model and card shuffling.

Published by the American Mathematical Society for academic and professional study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 October 2017
Listed Since
18 August 2017

Barcode

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