Springer Series in Statistics - Inference in Hidden Markov Models
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Published By Springer New York

9780387402642, 9780387289823

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Statistical Properties of the Maximum Likelihood Estimator

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_12 ◽

2005 ◽

pp. 441-469

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimator ◽

Statistical Properties ◽

Likelihood Estimator

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Applications of Smoothing

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_5 ◽

2005 ◽

pp. 121-159

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Maximum Likelihood Inference, Part I: Optimization Through Exact Smoothing

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_10 ◽

2005 ◽

pp. 347-395

Keyword(s):

Maximum Likelihood ◽

Likelihood Inference

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An Information-Theoretic Perspective on Order Estimation

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_15 ◽

2005 ◽

pp. 565-601 ◽

Cited By ~ 3

Keyword(s):

Information Theoretic ◽

Order Estimation

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Main Definitions and Notations

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_2 ◽

2005 ◽

pp. 35-47

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Sequential Monte Carlo Methods

Springer Series in Statistics - Inference in Hidden Markov Models ◽

10.1007/0-387-28982-8_7 ◽

2005 ◽

pp. 209-250

Keyword(s):

Monte Carlo ◽

Monte Carlo Methods ◽

Sequential Monte Carlo ◽

Sequential Monte Carlo Methods

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