Bayesian Economics Through Numerical Methods

Name: Bayesian Economics Through Numerical Methods
Brand: Springer-Verlag New York Inc.
SKU: 9781475771022
Price: 1120 CZK
Availability: InStock

A Guide to Econometrics and Decision-Making with Prior Information

Autor: Jeffrey H. Dorfman

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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1 120 Kč

Providing researchers in economics, finance, and statistics with an up-to-date introduction to apply...

Informace o knize

Autor

Jeffrey H. Dorfman

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

110

EAN

9781475771022

ISBN

1475771029

Enbook ID

02175399

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

201

Rozměry

155 x 235 x 9

Kompletní popis

Providing researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies, this book covers the full range of the new numerical techniques which have been developed over the last thirty years. Notably, these are: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems, and includes applications drawn from a variety of different fields within economics, while also providing a quick overview of the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing topic.

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Bayesian Economics Through Numerical Methods

A Guide to Econometrics and Decision-Making with Prior Information

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také