Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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J. R. Norris 作者

Cambridge University Press

译者

1998-07-28 出版日期

254 页数

USD 48.99 价格

Paperback

Cambridge Series in Statistical and Probabilistic Mathematics 丛书系列

9780521633963 图书编码

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书图书标签: 数学马尔可夫链机器学习 Statistics Markov 随机过程 Markov鏈计算机科学

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Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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之前跟着苏步青讲习班听了两周随机过程(布朗运动)，被虐的半路逃跑。。。这本书还是很适合我这种脑子不太好的人的。。。

评分☆☆☆☆☆

之前跟着苏步青讲习班听了两周随机过程(布朗运动)，被虐的半路逃跑。。。这本书还是很适合我这种脑子不太好的人的。。。

评分☆☆☆☆☆

之前跟着苏步青讲习班听了两周随机过程(布朗运动)，被虐的半路逃跑。。。这本书还是很适合我这种脑子不太好的人的。。。

评分☆☆☆☆☆

之前跟着苏步青讲习班听了两周随机过程(布朗运动)，被虐的半路逃跑。。。这本书还是很适合我这种脑子不太好的人的。。。

评分☆☆☆☆☆

之前跟着苏步青讲习班听了两周随机过程(布朗运动)，被虐的半路逃跑。。。这本书还是很适合我这种脑子不太好的人的。。。

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书著者简介

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书图书目录

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Markov Chains (Cambridge Series in Statistical and Probabilistic Mathematics) 在线电子书图书描述

Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more advanced topics such as martingales and potentials in the established context of Markov chains. There are applications to simulation, economics, optimal control, genetics, queues and many other topics, and exercises and examples drawn both from theory and practice. It will therefore be an ideal text either for elementary courses on random processes or those that are more oriented towards applications.

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