Learning Bayesian Statistics
Bitesize | "What Would Have Happened?" - Bayesian Synthetic Control Explained
5:23
Today's clip is from Episode 154 of the podcast, with Thomas Pinder.
In this conversation, Thomas Pinder explains how Bayesian methods naturally lend themselves to causal modeling, and why that matters for real-world business decisions. The key insight is that causal questions in industry are rarely black and white: instead of a single treatment effect, you get a full posterior distribution,…