Bayesian Economics Through Numerical Methods

Name: Bayesian Economics Through Numerical Methods
Brand: Springer-Verlag New York Inc.
SKU: 9780387982335
Price: 297.49 RON
Availability: InStock

A Guide to Econometrics and Decision-Making with Prior Information

Autor: Jeffrey H. Dorfman

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Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

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297.49 lei

The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-d...

Informații despre carte

Autor

Jeffrey H. Dorfman

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1997

Pagini

110

EAN

9780387982335

ISBN

0387982337

Enbook ID

01385420

Editura

Springer-Verlag New York Inc.

Greutate

780

Dimensiuni

155 x 235 x 12

Descriere completă

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. The author covers both advances in theory and modern approaches to numerical and applied problems. The book includes applications drawn from a variety of different fields within economics and also provides a quick overview to 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 research 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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