In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Nate Silver, baseball statistician turned political analyst, gained a lot of attention during the 2012 United States elections when he successfully predicted the outcome of the presidential vote in ...

ZIG分布・分位点回帰と試行錯誤を重ねてきたが、ここで発想を変えてベイジアン深層学習（Variational Inference）に挑戦。重みを確率分布で学習し、推論時に50回サンプリングすることで「EV予測の不確実性」を定量化する。不確実性が小さい＝モデルが確信して ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...