Monte Carlo methods

Bayesian inference often requires integrating some function with respect to a posterior distribution. Monte Carlo methods are sampling algorithms that allow to compute these integrals numerically when they are not analytically tractable. We review here the basic principles and the most common Monte...

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Bibliographic Details
Main Author: Bardenet Rémi
Format: Article
Language:English
Published: EDP Sciences 2013-07-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20135502002