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Bayesian Economics Through Numerical Methods
Jeffrey H. Dorfman
€ 63.23
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Description for Bayesian Economics Through Numerical Methods
Paperback. Num Pages: 110 pages, biography. BIC Classification: KCA; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 201.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
110
Condition
New
Number of Pages
110
Place of Publication
New York, NY, United States
ISBN
9781475771022
SKU
V9781475771022
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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