Acceleration Methods for Monte Carlo Integration in Bayesian Inference

Acceleration Methods for Monte Carlo Integration in Bayesian Inference
Author: John Geweke
Publisher:
Total Pages: 32
Release: 1988*
Genre: Bayesian statistical decision theory
ISBN:
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Acceleration Methods for Monte Carlo Integration in Bayesian Inference
Language: en
Pages: 32

Acceleration Methods for Monte Carlo Integration in Bayesian Inference

Authors: John Geweke
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 1988* - Publisher:

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Antithetic Acceleration of Monte Carlo Integration in Bayesian Inference
Language: en
Pages: 22

Antithetic Acceleration of Monte Carlo Integration in Bayesian Inference

Authors: John Geweke
Categories: Monte Carlo method
Type: BOOK - Published: 1987* - Publisher:

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Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Language: sv
Pages: 139

Accelerating Monte Carlo methods for Bayesian inference in dynamical models

Authors: Johan Dahlin
Categories:
Type: BOOK - Published: 2016-03-22 - Publisher: Linköping University Electronic Press

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Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are
Introducing Monte Carlo Methods with R
Language: en
Pages: 297

Introducing Monte Carlo Methods with R

Authors: Christian Robert
Categories: Computers
Type: BOOK - Published: 2010 - Publisher: Springer Science & Business Media

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This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique
Explorations in Monte Carlo Methods
Language: en
Pages: 290

Explorations in Monte Carlo Methods

Authors: Ronald W. Shonkwiler
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

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