Andere Kunden interessierten sich auch für
![Hidden Markov Models]( "Hidden Markov Models")
Hidden Markov Models125,99 €![Stochastic Modeling and Optimization]( "Stochastic Modeling and Optimization")
Stochastic Modeling and Optimization42,99 €![Stochastic Filtering Theory]( "Stochastic Filtering Theory")
Stochastic Filtering Theory83,99 €![Stochastic Filtering Theory]( "Stochastic Filtering Theory")
Stochastic Filtering Theory122,99 €![Foundations of Deterministic and Stochastic Control]( "Foundations of Deterministic and Stochastic Control")
Foundations of Deterministic and Stochastic Control42,99 €![Continuous-Time Markov Decision Processes]( "Continuous-Time Markov Decision Processes")
Continuous-Time Markov Decision Processes81,99 €![System Identification Using Regular and Quantized Observations]( "System Identification Using Regular and Quantized Observations")
System Identification Using Regular and Quantized Observations37,99 €
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.