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基本説明
Guides the reader in a friendly way from the basics of the Bayesian approach to its practical application to time series analysis. Coverage includes advanced Bayesian computations, Markov chain Monte Carlo methods and particle filters.
Full Description
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis.



