Last May, Statistical Horizons launched its Distinguished Speaker Series, a series of 3-hour virtual seminars taught by some of the most prominent and innovative scholars in the field. On Wednesday, September 25th, Professor Richard McElreath will present Science Before Statistics: Introduction to Bayesian Causal Inference.

In this course, you will discover new causal inference skills for using computational Bayesian models to answer causal questions. Learn why traditional regression modeling falls short and how to analyze graphical causal models to pinpoint both necessary and harmful variables. Professor McElreath will also demonstrate how computational Bayesian models can enhance estimation from finite and imperfect data. This seminar is especially aimed toward those who have tried to understand the connections between causal inference and statistical inference but were discouraged by notation and puffery.

Richard McElreath, Ph.D., is the author of the influential book, Statistical Rethinking: A Bayesian Course with Examples in R and Stan, now in its second edition. He serves as Director of the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, a department he founded.

This livestream seminar will be held via Zoom from 12pm-3pm ET, but you can also join asynchronously by viewing the recorded video.

Please share this information with anyone who may be interested. Email ashley@statisticalhorizons.com with any questions.

Thanks,
Ashley