Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com скачать в хорошем качестве

Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com

What can we learn about causal inference from the “war” between Bayesians and frequentists? What can we learn about causal inference from the “war” between Bayesians and frequentists? In the episode, we cover: What can we learn from the “war” between Bayesians and frequentists? Why do Bayesian Additive Regression Trees (BART) “just work”? Do heterogeneous treatment effects exist? Is RCT generalization a heterogeneity problem? In the episode, we accidentally coined a new term: “feature-level selection bias.” ------------------------------------------------------------------------------------------------------ Audio version available on the best podcast platforms: https://causalbanditspodcast.buzzspro... Recorded in Arizona, US. ------------------------------------------------------------------------------------------------------ About The Guest Professor Richard Hahn, PhD, is a professor of statistics at Arizona State University (ASU). He develops novel statistical methods for analyzing data arising from the social sciences, including psychology, economics, education, and business. His current focus revolves around causal inference using regression tree models, as well as foundational issues in Bayesian statistics. Connect with Richard: Richard on LinkedIn:   / richard-hahn-a1096050   Richard's web page: https://methodologymatters.substack.c... About The Host Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4 ). Connect with Alex: Alex on the Internet: https://bit.ly/aleksander-molak Links Repo https://stochtree.ai Papers Hahn et al (2020) - "Bayesian Regression Tree Models for Causal Inference" (https://projecteuclid.org/journals/ba...) Yeager, ..., Dweck et al (2019) - "A national experiment reveals where a growth mindset improves achievement" (https://www.nature.com/articles/s4158...) Herren, Hahn, et al (2025) - "StochTree: BART-based modeling in R and Python" (https://arxiv.org/abs/2512.12051) Books Higashine (2015) - "Malice: A Mystery" (https://www.amazon.com/Malice-Mystery...) Graham - "Making of the Atomic Bomb" (https://amzn.to/4qripp4) Perks & resources 🚀 Join FREE Causal Python Weekly Newsletter: https://causalpython.io 📽️ FREE Online Course on Causality: https://causalsecrets.com/ 📕 My Book on Causality: https://amzn.to/3SKRXIw 🔥 Causal Bandits Community Beta Wait List: https://causalbandits.com/ 🎙️ Get notifications about new episodes: https://causalbanditspodcast.com Let's connect! 👉🏼 Linkedin:   / aleksandermolak   👉🏼 Bluesky: https://alxndrmlk.bsky.social 👉🏼 Tiktok:   / alex.molak   Business 👉🏼 Consulting and Causal AI Training For Your Team: hello@causalpython.io Podcast Playlist    • Causal Bandits Podcast   Causal Bandits Team Project Coordinator: Taiba Malik (  / taibasplay  ) Video and Audio Editing: Navneet Sharma #machinelearning #causalai #causalinference #causality