Osvaldo Martin

Osvaldo Martin, a collaborator on various open-source Bayesian projects and educator at PyMC Labs, discusses the power of Bayesian Additive Regression Trees (BART). He explains how BART simplifies modeling for those lacking domain expertise. The conversation also highlights advancements in tools like PyMC-BART and PreliZ, emphasizing their contributions to prior elicitation. Osvaldo shares insights on integrating BART with Bambi and the importance of interactive learning in teaching Bayesian statistics. Additionally, he touches upon future enhancements for user experience in Bayesian analysis.