All Episodes
Learning Bayesian Statistics — 21 episodes
Bayesian Principal Stratification: Modeling Treatment Effects
Why a Bayesian Workflow Goes Beyond Fitting Models
#164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreath
Making Gaussian Processes Easier to Use
The Future of Faster MCMC
#163 How to make your models sample faster, with Adrian Seyboldt & Eliot Carlson
Bayesian Statistics vs. Epistemology
Bayesian Epistemology Is "Bayes' Theorem Without the Data"
Why Bayesians Have an Edge in AI
#162 Bayesian Hydrology & GPU AI, with Christopher Krapu
The Next Step Beyond LLMs: Foundation Models for Inference
#161 Amortized Inference & Neural Processes, with Luigi Acerbi
Bayesian Statistics vs Epistemology, with Vaden Masrani
Why Bayesian Statistics Is More Computational Than Ever
Exact GPs vs Approximations: When to Use Each (and Why It Matters)
#159 Bayesian Occupancy Models, with Matthijs Hollanders
Can AI Learn What Experts Know? Automating Prior Elicitation with Generative Models
#158 Bayesian Workflows & Foundation Models, with Stefan Radev
The Hidden Geometry of Hierarchical Models
#157 Amortized Inference & BayesFlow in Practice, with Stefan Radev
How to Design Better Experiments with Expected Information Gain