Parametry
- 513 stránek
- 18 hodin čtení
Více o knize
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.
Nákup knihy
Finite Mixture and Markov Switching Models, Sylvia Frühwirth-Schnatter
- Jazyk
- Rok vydání
- 2006
- product-detail.submit-box.info.binding
- (pevná)
Doručení
Platební metody
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- Titul
- Finite Mixture and Markov Switching Models
- Jazyk
- anglicky
- Vydavatel
- Springer
- Rok vydání
- 2006
- Vazba
- pevná
- Počet stran
- 513
- ISBN10
- 0387329099
- ISBN13
- 9780387329093
- Série
- Štítky
- Naučná literatura, Byznys, Byznys & Management, Technologie & Průmysl, Věda & Matematika, Přírodní vědy, Psychologická tématika, Biologie, Počítače & Internet, Věda, Ekonomie, Matematika, Technologie, Statistika, Základy, Analýza dat, Modeling, Bridž, Statistické modely
- Hodnocení
- 3,35 z 5
- Anotace
- 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.
