About: Nested sampling algorithm

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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.

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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. (en)
  • 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。 (ja)
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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. (en)
  • 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。 (ja)
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  • Nested sampling algorithm (ja)
  • Nested sampling algorithm (en)
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