What Do Kernels, Length Scale & Amplitude Mean in Gaussian Processes?
Oct 7, 2026 - 00:03:54
Radio and PodcastLive Radio & Podcasts
Technology
The Hidden Geometry of Hierarchical Models
Today's clip is from Episode 157 featuring Stefan Radev. In this conversation, Alex and Stefan dig into one of the hardest open problems in simulation-based inference — hierarchical models. The core idea: when you move f...
Related Episodes
Continue listening to more episodes from Learning Bayesian Statistics.
#166 PTGP: A New Gaussian Process Library, with Bill Engels & Jesse Grabowski
Oct 1, 2026 - 01:58:15
How AI Can Evaluate Bayesian Workflows with Bayesify
Sep 28, 2026 - 00:04:43
#165 Hierarchical Sequential Sampling Modeling, with Alex Fengler
Sep 18, 2026 - 01:47:53
Bayesian Principal Stratification: Modeling Treatment Effects
Sep 11, 2026 - 00:05:01
Why a Bayesian Workflow Goes Beyond Fitting Models
Sep 2, 2026 - 00:04:03
#164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreath
Aug 31, 2026 - 01:44:13
Making Gaussian Processes Easier to Use
Aug 25, 2026 - 00:04:43