Why a Bayesian Workflow Goes Beyond Fitting ModelsSep 2, 2026

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Episodes

Why a Bayesian Workflow Goes Beyond Fitting Models

Sep 2, 202600:04:03

#164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreath

Aug 31, 202601:44:13

Making Gaussian Processes Easier to Use

Aug 25, 202600:04:43

The Future of Faster MCMC

Aug 21, 202600:04:25

#163 How to make your models sample faster, with Adrian Seyboldt & Eliot Carlson

Aug 13, 202601:24:08

Bayesian Statistics vs. Epistemology

Aug 13, 202600:05:09

Why Bayesians Have an Edge in AI

Aug 3, 202600:04:26

#162 Bayesian Hydrology & GPU AI, with Christopher Krapu

Jul 28, 202601:04:50

The Next Step Beyond LLMs: Foundation Models for Inference

Jul 22, 202600:05:35

#161 Amortized Inference & Neural Processes, with Luigi Acerbi

Jul 16, 202601:32:14

Bayesian Epistemology Is "Bayes' Theorem Without the Data"

Aug 7, 202600:04:16

Bayesian Statistics vs Epistemology, with Vaden Masrani

Jun 29, 202601:40:31

Why Bayesian Statistics Is More Computational Than Ever

Jun 19, 202600:04:46

Exact GPs vs Approximations: When to Use Each (and Why It Matters)

Jun 10, 202600:04:25

#159 Bayesian Occupancy Models, with Matthijs Hollanders

Jun 8, 202601:26:06

Can AI Learn What Experts Know? Automating Prior Elicitation with Generative Models

Jun 2, 202600:04:50

#158 Bayesian Workflows & Foundation Models, with Stefan Radev

May 21, 202601:18:31

The Hidden Geometry of Hierarchical Models

May 13, 202600:03:57

#157 Amortized Inference & BayesFlow in Practice, with Stefan Radev

May 6, 202601:18:43

How to Design Better Experiments with Expected Information Gain

May 1, 202600:05:42

#156 Bayesian Experimental Design & Active Learning, with Adam Foster

Apr 25, 202601:16:43

Pricing Under Uncertainty: A Bayesian Workflow

Apr 16, 202600:05:03

#155 Probabilistic Programming for the Real World, with Andreas Munk

Apr 8, 202601:54:07

Bitesize | "What Would Have Happened?" - Bayesian Synthetic Control Explained

Apr 2, 202600:05:23

#154 Bayesian Causal Inference at Scale, with Thomas Pinder

Mar 25, 202601:26:18

#153 The Neuroscience of Philanthropy, with Cherian Koshy

Mar 11, 202601:09:12

Bitesize | How To Model Risk Aversion In Pricing?

Mar 4, 202600:03:34

#152 A Bayesian decision theory workflow, with Daniel Saunders

Feb 26, 202601:19:18

BITESIZE | How Do Diffusion Models Work?

Feb 19, 202600:03:40

#151 Diffusion Models in Python, a Live Demo with Jonas Arruda

Feb 12, 202601:35:43

#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik

Jan 28, 202601:20:27

BITESIZE | Building Resilience in Modern Tech Careers

Jan 21, 202600:25:22

#149 The Future of Work in Tech, with Alana Karen

Jan 14, 202601:32:32

BITESIZE | The Trial Design That Learns in Real Time

Jan 7, 202600:22:09

#148 Adaptive Trials, Bayesian Thinking, and Learning from Data, with Scott Berry

Dec 30, 202501:24:49

#128 Building a Winning Data Team in Football, with Matt Penn

Mar 19, 202500:58:11

Why would you use Bayesian Statistics?

Feb 14, 202400:10:53

#46 Silly & Empowering Statistics, with Chelsea Parlett-Pelleriti

Aug 30, 202101:13:04

#25 Bayesian Stats in Football Analytics, with Kevin Minkus

Oct 9, 202000:55:59

#32 Getting involved into Bayesian Stats & Open-Source Development, with Peadar Coyle

Jan 27, 202100:53:05

#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward

Oct 30, 202400:58:51

#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff

May 2, 202401:15:25

How can we even hear gravitational waves?

Mar 14, 202400:08:59

#101 Black Holes Collisions & Gravitational Waves, with LIGO Experts Christopher Berry & John Veitch

Mar 7, 202401:09:54

Reactive Message Passing in Bayesian Inference

Feb 28, 202400:08:49

The biggest misconceptions about Bayes & Quantum Physics

Feb 16, 202400:09:49

How do sampling algorithms scale?

Feb 5, 202400:09:26

#15 The role of Python in Science and Education, with Michael Kennedy

May 6, 202001:05:53

#14 Hidden Markov Models & Statistical Ecology, with Vianey Leos-Barajas

Apr 22, 202000:49:01

#142 Bayesian Trees & Deep Learning for Optimization & Big Data, with Gabriel Stechschulte

Oct 2, 202501:10:28