Home Statistics and Visualization Statistical Modeling, Causal Inference, and Social Science “Tough choices in election forecasting: All the things that can go wrong” (my webinar this Friday 11am with the Washington Statistical Society)

“Tough choices in election forecasting: All the things that can go wrong” (my webinar this Friday 11am with the Washington Statistical Society)

Statistical Modeling, Causal Inference, and Social Science 2024-10-07

Summary:

Friday, October 11th, 2024, 11:00 A.M. – 12:00 P.M. Eastern Time, Remote Only The seminar talk is live-streamed. Please register to receive the link. Tough choices in election forecasting: All the things that can go wrong Andrew Gelman, Department of … Continue reading →

Link:

https://statmodeling.stat.columbia.edu/2024/10/07/tough-choices-in-election-forecasting-all-the-things-that-can-go-wrong-my-webinar-this-friday-11am-with-the-washington-statistical-society/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

bayesian

Authors:

Andrew

Date tagged:

10/07/2024, 23:34

Date published:

10/07/2024, 19:25