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搜索结果: 1-4 共查到MCMC Algorithms相关记录4条 . 查询时间(0.531 秒)
We address the problem of upper bounding the mean square error of MCMC estimators. Our analysis is non-asymptotic.
The subject of stochastic approximation was founded by Robbins and Monro [Ann. Math. Statist. 22 (1951) 400--407]. After five decades of continual development, it has developed into an important area...
This paper surveys various results about Markov chains on general (non-countable) state spaces. It begins with an introduction to Markov chain Monte Carlo (MCMC) algorithms, which provide the motivati...
We study a class of adaptive Markov Chain Monte Carlo (MCMC) processes which aim at behaving as an ``optimal'' target process via a learning procedure. We show, under appropriate conditions, that the ...

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