ViewTube

... arrives - Credible intervals vs confidence intervals - A simple Bayesian A/B test - When the Bayesian approach genuinely helps ...

Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew ...

Counter-Strike is a game about aim, utility, teamwork, and apparently Bayesian statistics. In this PowerPoint, I make the ...

00:43:53 How do Bayesians reinterpret non-Bayesian methods? 00:45:02 How is the Bayesian Workflow book structured?

How can we model an unknown function without specifying a fixed functional form in advance? In this video, we explore Gaussian ...

Probabilistic AI School 2026 Materials: https://github.com/probabilisticai/probai-2026 Hosted by: - Lithuanian Artificial Intelligence ...

The video introduces the three core components of Bayesian analysis: Prior Distribution, Likelihood, and Posterior Distribution.

A positive rapid COVID test means something different early in a pandemic than it does during a surge, and the difference is the ...

What is Bayesian statistics, and how is it different from the frequentist approach? In this video, we explore the Bayesian paradigm ...

A complete Bayesian analysis involves specifying a model, checking assumptions, performing inference, making predictions, ...

Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew ...

How can we approximate an integral using random samples? In this video, we explore Monte Carlo integration, one of the ...

Learn how Amortized Bayesian Inference can turn slow, repeated Bayesian computation into fast, reusable inference, especially ...

Using Markov Chain Monte Carlo methods such as Gibbs sampling and simulation smoothing, Bayesian methods provide robust ...

Variant: Gaussian Process Bayesian Optimization; Tree-structured Parzen Estimator; SMAC; Batch Bayesian Optimization; ...

How can we generate samples from a complicated joint probability distribution when direct sampling is difficult? In this video, we ...

Brandon Turner gives an in-depth look at how Bayesian methods are used to fit and compare computational cognitive modeling in ...

How should we choose a prior distribution in Bayesian statistics — and how can we check whether that prior actually makes ...

by Johannes P. Dürholt at the AutoML Summer School 2026.