21min chapter

Learning Bayesian Statistics cover image

#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter

Learning Bayesian Statistics

CHAPTER

Unlocking Bayesian Methods in Structure Modeling

This chapter explores the guest's journey from developmental psychology to Bayesian statistics, focusing on the role of priors in structural equation modeling (SEM). It highlights the challenges researchers face in prior selection, sensitivity analysis, and the importance of prior predictive checks as essential steps in the modeling process. The conversation reveals how advancements in software and methods like simulation-based calibration are enhancing the accessibility and reliability of Bayesian analysis.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode