Understanding Bayesian Statistics Without Frequentist Language -- Richard McElreath (MPI)
25:02
Why do we need MCMC and how does it work? -- Ben Lambert (Oxford)
10:21
Why we need causal thinking for all data applications: Richard McElreath (Max Planck Institute)
11:25
A visual guide to Bayesian thinking
21:04
The biggest beef in statistics explained
26:24
The Key Equation Behind Probability
55:55
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)
25:36
Why we don't teach, and why we should and could teach, Bayesian methods -- Mark Andrews (NTU)
17:25