Learning Bayesian Statistics cover image

BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja

Learning Bayesian Statistics

00:00

Exploring Simulation-Based Calibration and Pathfinder Initialization

This chapter explores the complexities of simulation-based calibration (SBC) and the challenges it poses, particularly regarding model feeding requirements. It also highlights the Pathfinder approach as a beneficial initialization strategy for MCMC fitting, using case studies to demonstrate its effectiveness in navigating multimodal posteriors in Bayesian modeling.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app