Name: Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Papers From the Banff International Research Station Workshop (London Mathematical Society Lecture Note Series) (en Inglés)
Price: 78.73 USD
Availability: InStock
Author: Brian (Edt) Marcus
ISBN: 9780521111133

portada Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Papers From the Banff International Research Station Workshop (London Mathematical Society Lecture Note Series) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Brian (Edt) Marcus

Año

2011

Idioma

Inglés

N° páginas

280

Encuadernación

Tapa Blanda

Peso

0.88

ISBN13

9780521111133

N° edición

Categorías

Matemáticas discretas

Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Papers From the Banff International Research Station Workshop (London Mathematical Society Lecture Note Series) (en Inglés)

Brian (Edt) Marcus (Autor) · Cambridge University Press · Tapa Blanda

Libro Físico

$ 78.73

$ 87.99

Ahorras: $ 9.26

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Reseña del libro "Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Papers From the Banff International Research Station Workshop (London Mathematical Society Lecture Note Series) (en Inglés)"

Hidden Markov processes (HMPs) are important objects of study in many areas of pure and applied mathematics, including information theory, probability theory, dynamical systems and statistical physics, with applications in electrical engineering, computer science and molecular biology. This collection of research and survey papers presents important new results and open problems, serving as a unifying gateway for researchers in these areas. Based on talks given at the Banff International Research Station Workshop, 2007, this volume addresses a central problem of the subject: computation of the Shannon entropy rate of an HMP. This is a key quantity in statistical physics and information theory, characterising the fundamental limit on compression and closely related to channel capacity, the limit on reliable communication. Also discussed, from a symbolic dynamics and thermodynamical viewpoint, is the problem of characterizing the mappings between dynamical systems which map Markov measures to Markov (or Gibbs) measures, and which allow for Markov lifts of Markov chains.