Bayesian Economics Through Numerical Methods

Name: Bayesian Economics Through Numerical Methods
Brand: Springer-Verlag New York Inc.
SKU: 9780387982335
Price: 51.77 EUR
Availability: InStock

A Guide to Econometrics and Decision-Making with Prior Information

Автор: Jeffrey H. Dorfman

Език:

Корици: С твърди корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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51.77 € 101.26 лв

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

Информация за книгата

Автор

Jeffrey H. Dorfman

Език

Английски език

Корици

Книга - С твърди корици

Издадена

1997

страници

110

EAN

9780387982335

ISBN

0387982337

Enbook ID

01385420

Издател

Springer-Verlag New York Inc.

Теглоt

780

Размери

155 x 235 x 12

Пълно описание

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

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също