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The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. It was developed in 2004 by physicist John Skilling.
, Nested sampling algorithmとは、ベイズ統計におけるモデル比較、及び事後分布からのサンプル生成のための計算手法である。 2004年に物理学者のジョン・スキリング(John Skilling)によって開発された。
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The nested sampling algorithm is a computational approach to the Bayesian statistics problems of comparing models and generating samples from posterior distributions. It was developed in 2004 by physicist John Skilling.
, Nested sampling algorithmとは、ベイズ統計におけるモデル比較、及び事後分布からのサンプル生成のための計算手法である。 2004年に物理学者のジョン・スキリング(John Skilling)によって開発された。
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rdfs:label |
Nested sampling algorithm
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