Bayesian Economics Through Numerical Methods

Name: Bayesian Economics Through Numerical Methods
Brand: Springer-Verlag New York Inc.
SKU: 9781475771022
Price: 271.97 RON
Availability: InStock

A Guide to Econometrics and Decision-Making with Prior Information

Autor: Jeffrey H. Dorfman

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Legare: Carte broșată

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern

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271.97 lei

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

Informații despre carte

Autor

Jeffrey H. Dorfman

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

110

EAN

9781475771022

ISBN

1475771029

Enbook ID

02175399

Editura

Springer-Verlag New York Inc.

Greutate

201

Dimensiuni

155 x 235 x 9

Descriere completă

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

Informații despre carte

Descriere completă

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