Bayesian Economics Through Numerical Methods

Name: Bayesian Economics Through Numerical Methods
Brand: Springer-Verlag New York Inc.
SKU: 9781475771022
Price: 51.62 EUR
Availability: InStock

A Guide to Econometrics and Decision-Making with Prior Information

Автор: Jeffrey H. Dorfman

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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51.62 € 100.97 лв

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

Информация за книгата

Автор

Jeffrey H. Dorfman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

110

EAN

9781475771022

ISBN

1475771029

Enbook ID

02175399

Издател

Springer-Verlag New York Inc.

Теглоt

201

Размери

155 x 235 x 9

Пълно описание

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

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също