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Live Stata event
Webinar: Bayesian Model Averaging

About the Webinar

Are you unsure which predictors to include in your model? Rather than choosing one model, aggregate results across all candidate models to account for model uncertainty with Bayesian model averaging (BMA). Which predictors are important given the observed data? Which models are more plausible? How do predictors relate to each other across different models? BMA can answer these questions and many more.

Stata 18 introduced the bma suite of commands to perform BMA in linear regression models. In this webinar, you will learn how to explore influential models, make inferences, and obtain better predictions with BMA. We will demonstrate the utility of BMA for any researcher—Bayesian, frequentist, and everyone in between! No prior knowledge of the Bayesian framework is required.

Join us for this one-hour webinar, and learn how you can make your interactions with Stata more efficient and more effective.

How to Join
The webinar is free, but you must register to attend. Registrations are limited so register soon, by later today.

You will receive an email prior to the start with instructions on how to access the webinar.

Webinar: Bayesian Model Averaging

Wednesday, September 27, 2023

9.30pm to 10.30pm IST


Meghan Cain is the Assistant Director, Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.

Presenter: Meghan Cain

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