Iterative simulation methods
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摘要
The standard methods of generating sample from univariate distributions often become hopelessly inefficient when applied to realizations of stochastic processes. Iterative methods are not widely known amongst statisticians, but some are standard practice in statistical physics and chemistry. The methods are surveyed and compared, with particular reference to their convergence properties.
论文关键词:Gibbs sampler,iterative simulation,Markov random field,Metropolis' method,rates of convergence
论文评审过程:Received 15 January 1989, Available online 13 May 2002.
论文官网地址:https://doi.org/10.1016/0377-0427(90)90347-3