Ryan Dew

University of Pennsylvania - Marketing Department

Assistant Professor

700 Jon M. Huntsman Hall

3730 Walnut Street

Philadelphia, PA 19104-6340

United States

SCHOLARLY PAPERS

4

DOWNLOADS
Rank 40,920

SSRN RANKINGS

Top 40,920

in Total Papers Downloads

1,426

SSRN CITATIONS

6

CROSSREF CITATIONS

1

Scholarly Papers (4)

1.

Bayesian Nonparametric Customer Base Analysis with Model-based Visualizations

Marketing Science (Forthcoming)
Number of pages: 39 Posted: 19 Nov 2015 Last Revised: 23 Jun 2017
Ryan Dew and Asim Ansari
University of Pennsylvania - Marketing Department and Columbia Business School - Marketing
Downloads 805 (38,073)
Citation 4

Abstract:

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Customer Base Analysis, Dynamics, Analytics, Dashboards, Gaussian Process Priors, Bayesian Nonparametrics, Visualization, Mobile Commerce

2.

Letting Logos Speak: Leveraging Multiview Representation Learning for Data-Driven Branding and Logo Design

Columbia Business School Research Paper Forthcoming
Number of pages: 74 Posted: 28 Jun 2019 Last Revised: 08 Apr 2021
Ryan Dew, Asim Ansari and Olivier Toubia
University of Pennsylvania - Marketing Department, Columbia Business School - Marketing and Columbia Business School - Marketing
Downloads 557 (61,853)
Citation 2

Abstract:

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logos, branding, machine learning, multiview learning, deep generative modeling, image processing

3.

A Gaussian Process Model of Cross-Category Dynamics in Brand Choice

Number of pages: 35 Posted: 23 Apr 2021 Last Revised: 25 Apr 2021
Ryan Dew and Yuhao Fan
University of Pennsylvania - Marketing Department and affiliation not provided to SSRN
Downloads 64 (423,497)

Abstract:

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Bayesian nonparametrics, Gaussian process, choice model, machine learning

4.

Modeling Dynamic Heterogeneity using Gaussian Processes

Forthcoming, Journal of Marketing Research
Posted: 13 Feb 2017 Last Revised: 16 Aug 2019
Ryan Dew, Asim Ansari and Yang Li
University of Pennsylvania - Marketing Department, Columbia Business School - Marketing and Cheung Kong Graduate School of Business

Abstract:

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dynamics, heterogeneity, Bayesian nonparametrics, Gaussian processes, choice models, topic models, machine learning