Ryan Dew’s research explores how machine learning and Bayesian statistical methodologies can solve real-world marketing problems, and enhance the capacity of marketing managers to make data-driven decisions. Methodologically, he uses techniques from machine learning, Bayesian nonparametrics, and Bayesian econometrics.
Ryan Dew
Associate Professor of Marketing
Want to see all Ryan Dew’s contributions to Knowledge at Wharton?
Wharton Profile:
https://marketing.wharton.upenn.edu/profile/ryandew/Interested in Ryan Dew?
Reach out to our media inquiry team: communications@wharton.upenn.edu
Featured Knowledge at Wharton Activity
