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portada Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
Type
Physical Book
Publisher
Language
English
Pages
110
Format
Paperback
Dimensions
23.4 x 15.6 x 0.7 cm
Weight
0.19 kg.
ISBN13
9781475771022
Edition No.
1

Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information

Jeffrey H. Dorfman (Author) · Springer · Paperback

Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information - Dorfman, Jeffrey H.

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Synopsis "Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information"

The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of the new numerical techniques which have been developed over the last thirty years, notably: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling.

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