Simulation in Statistics
Computation
2011-05-25 v1
Abstract
Simulation has become a standard tool in statistics because it may be the only tool available for analysing some classes of probabilistic models. We review in this paper simulation tools that have been specifically derived to address statistical challenges and, in particular, recent advances in the areas of adaptive Markov chain Monte Carlo (MCMC) algorithms, and approximate Bayesian calculation (ABC) algorithms.
Cite
@article{arxiv.1105.4823,
title = {Simulation in Statistics},
author = {Christian P. Robert},
journal= {arXiv preprint arXiv:1105.4823},
year = {2011}
}
Comments
Draft of an advanced tutorial paper for the Proceedings of the 2011 Winter Simulation Conference