Homepage of Eric M. Schwartz

Last updated 2019-03-01

Eric Scwhartz faculty photo
Curriculum Vita.

Welcome to Eric Schwartz's simple website!

Eric Schwartz is the Arnold M. and Linda T. Jacob Faculty Fellow, Assistant Professor of Marketing at the Stephen M. Ross School of Business at the University of Michigan. See below for more about me.


What's New


Research and Publications

Journal Publications

  1. Misra, Kanishka, Eric M. Schwartz, Jacob D. Abernethy (2019). Dynamic online pricing with incomplete information using multi-armed bandit experiments. Marketing Science, Forthcoming. PDF. BibTeX. Google Scholar.

  2. Schwartz, Eric M., Bradlow, Eric T., and Fader, Peter S. (2017). Customer acquisition via display advertising using multi-armed bandit experiments. Marketing Science, 36(4), 500-522. Journal Link. PDF. BibTeX. Google Scholar.

  3. Schwartz, Eric M., Bradlow, Eric T., and Fader, Peter S. (2014). Model selection using database characteristics: Developing a classification tree for longitudinal incidence data. Marketing Science, 33(2), 188-205. Journal Link. PDF. BibTeX. Google Scholar. Press Release.

  4. Berger, Jonah, and Eric M. Schwartz (2011). What drives immediate and ongoing word of mouth? Journal of Marketing Research, 48 (5), 869-880. Journal Link. PDF. BibTeX. Google Scholar. Featured in Contagious .

Newest Working Papers

Peer-Reviewed Conference Proceedings Papers

Other Conference Proceedings


Press and Media


Teaching

Current courses
Past courses
Teaching interests
Teaching materials developed

About Me

Employment and Education

Current Employment Education

Bio

Eric Schwartz is an Assistant Professor of Marketing the Arnold M. and Linda T. Jacob Faculty Fellow, at the Stephen M. Ross School of Business at the University of Michigan. Professor Schwartz's expertise focuses on predicting customer behavior, understanding its drivers, and examining how firms actively acquire customers and manage their relationships through interactive marketing experiments and adaptive data collection. His current projects aim to optimize firms' A/B testing and adaptive marketing experiments using a multi-armed bandit framework, often working with companies and organizations. His broader research in customer analytics stretches across managerial applications, including online experiments, online advertising, dynamic pricing, native advertising, streaming video binge viewing, and word-of-mouth. The quantitative methods he uses are primarily machine learning, active learning, Bayesian statistics, and field experiments. Applying those same methods elsewhere, he also works on public policy problems focused on health and safety. His work has been recognized with awards, including ISMS John D. C. Little Best Paper, ISMS Doctoral Dissertation Proposal Competition Winner, and KDD Applied Data Science Best Student Paper. He is a member of the Editorial Review Board of INFORMS journal, Marketing Science. Before joining the Michigan Ross faculty in 2013, Professor Schwartz earned his Ph.D. in Marketing from the Wharton School and a B.A. in Mathematics and Hispanic Studies, all from the University of Pennsylvania.


BibTeX Citations

@article{msa2018banditpricing,
title={Customer acquisition via display advertising using
multi-armed bandit experiments},
author={Misra, Kanishka and Schwartz, Eric and Jacob D. Abernethy},
journal={Marketing Science},
volume={Forthcoming},
year={2018},
publisher={INFORMS}
}

@article{schwartzetal2017bandit,
title={Customer acquisition via display advertising using
multi-armed bandit experiments},
author={Schwartz, Eric M and Bradlow, Eric T and Fader, Peter S},
journal={Marketing Science},
volume={36},
number={4},
pages={500--522},
year={2017},
publisher={INFORMS}
}

@article{schwartzetal2014hmmrf,
title={Model selection using database characteristics: Developing a classification tree for longitudinal incidence data},
author={Schwartz, Eric M and Bradlow, Eric T and Fader, Peter S},
journal={Marketing Science},
volume={33},
number={2},
pages={188--205},
year={2014},
publisher={INFORMS}
}

@article{bergerschwartz2011wom,
title={What drives immediate and ongoing word of mouth?},
author={Berger, Jonah and Schwartz, Eric M},
journal={Journal of Marketing Research},
volume={48},
number={5},
pages={869--880},
year={2011},
publisher={American Marketing Association}
}

@article{aribargschwartz2017native,
title={Consumer responses to native advertising},
author={Aribarg, Anocha and Schwartz, Eric M},
year={2017}
}

(End)


This page was typed by hand and written in HyperText Markup Language (HTML). That means Web 1.0, 1990s style, without any fancy apps and slick Web 2.0 style graphics. No WhatYouSeeIsWhatYouGet editors are needed. This is a flat website in a single page. You can see all contents with full transparency with Show Page Source / Inspect Element in your browser. I used the template provided by Frank da Cruz.
~ Eric Schwartz ~