An introduction to Markov processes
著者
書誌事項
An introduction to Markov processes
（Graduate texts in mathematics, 230）
Springer, c2005
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注記
Includes bibliographical references (p. [168]) and index
内容説明・目次
内容説明
Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding sophisticated measure theory Leads the reader to a rigorous understanding of basic theory
目次
Random Walks a Good Place to Begin.- Doeblin's Theory for Markov Chains.- More about the Ergodic Theory of Markov Chains.- Markov Processes in Continuous Time.- Reversible Markov Processes.- Some Mild Measure Theory.- Notation.- References.- Index.
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