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