Metropolis-Hastings Algorithms in Function Space for Bayesian Inference of Groundwater Flow

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：voidemort

【摘要】

：

　　We consider Markov Chain Monte Carlo methods in general Hilbert spaces as they arise in Bayesian inference with PDEs,where it is necessary to draw samples f

【作者】

：

Sprungk Bjoern

【机构】

：

TU Chemnitz

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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论文部分内容阅读

　　We consider Markov Chain Monte Carlo methods in general Hilbert spaces as they arise in Bayesian inference with PDEs,where it is necessary to draw samples from probability measures on function spaces.

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Metropolis-Hastings Algorithms in Function Space for Bayesian Inference of Groundwater Flow

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