1:08:27 Developing Hierarchical Models for Sports Analytics with Chris Fonnesbeck PyMC Labs 8.4K views - 2 years ago
1:20:42 L4: Interpretable Linear Regressions (State of Bayes Lecture Series) PyMC Labs 1K views - 3 years ago
1:37:31 L7: Gaussian Processes for Time Series (State of Bayes Lecture Series) PyMC Labs 1.5K views - 2 years ago
29:40 A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang) PyMC Developers 39.1K views - 5 years ago
21:24 ZebraHat vs PiMesh: Same Power, Very Different Results + pyMC Repeater Setup Signal Trek 418 views - 2 weeks ago
1:24:50 SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki Super Data Science: ML & AI Podcast with Jon Krohn 1.6K views - 4 years ago
58:51 #118 Exploring the Future of Stan, with Charles Margossian & Brian Ward Learning Bayesian Statistics 336 views - 1 year ago
30:31 Counterfactual Analysis with Bayesian Models by Allen Downey, PhD Open Data Science and AI Conference 389 views - 2 weeks ago
1:11:11 #76 The Past, Present & Future of Stan, with Bob Carpenter Learning Bayesian Statistics 433 views - 3 years ago
1:26:51 Chris Fonnesbeck - Flexible Statistical Modeling | Pydata London 26 PyData 2.7K views - 1 week ago
8:14 Introduction to Bayesian statistics, part 2: MCMC and the Metropolis–Hastings algorithm StataCorp LLC 275.4K views - 10 years ago
53:13 #32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle Learning Bayesian Statistics 88 views - 5 years ago