Robert McCulloch

The Katherine Dusak Miller Professor
Chicago Booth

Robert McCulloch studies Bayesian methods, statistical analysis, and machine learning. His research has been published in a variety of publications, including Statistical Science, Journal of the American Statistical Association, Journal of Econometrics, Journal of Marketing Research, and Marketing Science. Additionally, he serves as the associate editor for both the Electronic Journal of Statistics and the Journal of the American Statistical Association.

Recent co-authored publications include “BART: Bayesian Additive Regression Trees,” The Annals of Applied Statistics; “On the Determination of General Scientific Models with Application to Asset Pricing,” Journal of the American Statistical Association; and “Bayesian CART Model Search,” Journal of the American Statistical Society.

In 1997, McCulloch was awarded the honor of fellow of the American Statistical Association. He holds MS and PhD degrees in statistics from the University of Minnesota. Prior to his studies at Minnesota, he earned a BS in mathematics and economics from the University of Toronto. McCulloch previously taught at Chicago Booth from 1985 through 2008.

McCulloch joined the University of Chicago faculty in 2012.

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