The Ergodic Theory of Discrete Sample Paths

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学习机器学习的最佳起始点。一定要理解此书里 的每一个概念，为发现此书也是讲解最清晰的，没有之一。
From the Publisher

Features:

Emphasis on recent combinatorial results about sample paths. Careful treatment of many models found to be useful in engineering. Applications of entropy ideas to coding, sample path structure, distribution estimation, recurrence times, waiting times, and prefix trees. Simplification, adaptation, and updating to the process setting of Ornstein isomorphism theory.

Review

"This is a well-written book. Being an expert in the field, the author has chosen his own way of organization and presentation of the material. The result is a unique book with many interesting details for the expert and a text for the graduate student which is well thought out ... covers important and useful aspects of probabilistic discrete-sample-paths theory." -- -- Mathematical Reviews

"This is an interesting and well-written account of the ergodic theory of stationary processes from the viewpoint of entropy theory. This book is a beautiful and very readable treatment of an important part of ergodic theory. It is written by an expert in the field who has made very significant contributions and who has an excellent knowledge of the great relevance of the theory to other fields such as information theory ... strongly recommend this book to anyone who is interested in ergodic theory, stochastic processes or information theory." -- Bulletin of the London Mathematical Society

"A very original book on a topic of current interest written by an experienced author." -- Zentralblatt fur Mathematik

A very original book on a topic of current interest written by an experienced author. --Zentralblatt für Mathematik

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关键词：Discrete Ergodic Sample Theory Paths