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Large Deviations for Markov Chains (English, Alejandro D. de Acosta)-67% OFF
Cambridge University Press

Large Deviations for Markov Chains (English, Alejandro D. de Acosta)

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Specifications

PublisherCambridge University Press
LanguageEnglish
ISBN-139781316511893
ISBN-101316511898
AuthorAlejandro D. de Acosta

Product Description

Here on GlowMirror, you'll find Large Deviations for Markov Chains filed under Cambridge University Press -- everything you need to know is covered below.

About the Book

This book studies the large deviations for empirical measures and vector-valued additive functionals of Markov chains with general state space. Under suitable recurrence conditions, the ergodic theorem for additive functionals of a Markov chain asserts the almost sure convergence of the averages of a real or vector-valued function of the chain to the mean of the function with respect to the invariant distribution. In the case of empirical measure…

ISBN: 9781316511893

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What You'll Learn

  • ·In-depth exploration of topics covered in Large Deviations for Markov Chains
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Cambridge University Press

Who Should Read This

Students and professionals interested in Cambridge University Press, as well as general readers looking to expand their knowledge.

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Who is the author of Large Deviations for Markov Chains?
Large Deviations for Markov Chains is authored by Alejandro D. de Acosta.
Who published Large Deviations for Markov Chains?
Large Deviations for Markov Chains is published by Cambridge University Press.
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At an average reading speed of 250 words per minute, reading Large Deviations for Markov Chains takes a few hours to a few days depending on reading pace.
What is Large Deviations for Markov Chains about?
About the Book This book studies the large deviations for empirical measures and vector-valued additive functionals of Markov chains with general state space. Under suitable recurrence conditions, the ergodic theorem for additive functionals of a Markov chain asserts the almost sure convergence of...
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