Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)

Elliott, Robert J; Aggoun, Lakhdar; Moore, John B.

ISBN 10: 0387943641 ISBN 13: 9780387943640

Editorial: Springer, NY, 1997

Idioma: Ingl�s

Condici�n: Usado - Excelente Encuadernaci�n de tapa dura

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Detalles bibliogr�ficos

T�tulo

Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)

Editor

Springer, NY

Fecha de publicaci�n

1997

Idioma

Ingl�s

ISBN 10

0387943641

ISBN 13

9780387943640

Encuadernaci�n

Hardcover

Edici�n

Second Printing.

Estado

Fine

Cat�logos de vendedores

Mathematics

Acerca de

Sinopsis

As more applications are found, interest in Hidden Markov Models continues to grow. Following comments and feedback from colleagues, students and other working with Hidden Markov Models the corrected 3rd printing of this volume contains clarifications, improvements and some new material, including results on smoothing for linear Gaussian dynamics.

In Chapter 2 the derivation of the basic filters related to the Markov chain are each presented explicitly, rather than as special cases of one general filter. Furthermore, equations for smoothed estimates are given. The dynamics for the Kalman filter are derived as special cases of the authors’ general results and new expressions for a Kalman smoother are given. The Chapters on the control of Hidden Markov Chains are expanded and clarified. The revised Chapter 4 includes state estimation for discrete time Markov processes and Chapter 12 has a new section on robust control.

De la contraportada

In Chapter 2 the derivation of the basic filters related to the Markov chain are each presented explicitly, rather than as special cases of one general filter. Furthermore, equations for smoothed estimates are given. The dynamics for the Kalman filter are derived as special cases of the authors' general results and new expressions for a Kalman smoother are given. The Chapters on the control of Hidden Markov Chains are expanded and clarified. The revised Chapter 4 includes state estimation for discrete time Markov processes and Chapter 12 has a new section on robust control.

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