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Finite Mixture and Markov Switching Models

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The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.

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Finite Mixture and Markov Switching Models, Sylvia Frühwirth-Schnatter

Język
Rok wydania
2006
Oprawa
(twarda)
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3,4
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3 Ocena

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Tytuł
Finite Mixture and Markov Switching Models
Język
angielski
Wydawca
Springer
Rok wydania
2006
Oprawa
twarda
Liczba stron
513
ISBN10
0387329099
ISBN13
9780387329093
Seria
Ocena
3,35 z 5
Opis
The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.