An Introduction to MCMC for Machine Learning

An Introduction to MCMC for Machine Learning. Andrieu, C., de Freitas, N., & Doucet, A. , 2003.
abstract bibtex

This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method withemphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chainMonte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly,it discusses new interesting research horizons.

@Article{Andrieu2003,
author = {Andrieu, Christophe and de Freitas, Nando and Doucet, Arnaud}, 
title = {An Introduction to MCMC for Machine Learning}, 
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abstract = {This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method withemphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chainMonte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly,it discusses new interesting research horizons.}, 
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