Michael Kaminsky

In this discussion, Michael Kaminsky, Co-CEO of Recast and a specialist in Bayesian statistics, offers intriguing insights into the complexities of Bayesian analysis. He emphasizes how human beings naturally think in Bayesian terms, often updating beliefs with new evidence. Kaminsky contrasts Bayesian and frequentist statistics, pointing out the limits of traditional methods. He advocates for involving domain experts to set realistic priors and explores the application of Bayesian modeling in real-world scenarios, including pandemic and decision-making contexts.