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TECHNIQUES FOR AUTOMATED BAYESIAN POSTERIOR SAMPLING USING MARKOV CHAIN MONTE CARLO AND RELATED SCHEMES

机译:使用马尔可夫链蒙特卡罗及其相关方案的自动贝叶斯后采样技术

摘要

Techniques for automated Bayesian posterior sampling using Markov Chain Monte Carlo and related schemes are described. In an embodiment, one or more values in an accuracy phase for a system configured for Bayesian sampling may be initialized. Sampling may be performed in the accuracy phase based upon the one or more values to generate a plurality of samples. The plurality of samples may be evaluated based upon one or more accuracy criteria. The accuracy phase may be exited when the plurality of samples meets the one or more accuracy criteria. Other embodiments are described and claimed.
机译:描述了使用马尔可夫链蒙特卡洛和相关方案的自动贝叶斯后验采样技术。在一个实施例中,可以对在精确度阶段中针对被配置用于贝叶斯采样的系统的一个或多个值进行初始化。可以基于一个或多个值在精度阶段中执行采样以生成多个采样。可以基于一个或多个准确性标准来评估多个样本。当多个样本满足一个或多个准确性标准时,可以退出准确性阶段。描述和要求保护其他实施例。

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