Frontiers of Applied Statistics in Marketing

 

The Statistics in Marketing Section of the American Statistical Association

was pleased to present the

Workshop on Frontiers of Applied Statistics in Marketing”

on

April 21, 2017

at

Columbia University

 

A video of the conference, including all of the talks, can be found here.  Please click on talk titles in the program below to view the slides.

 

Introduction

9:15 to 9:30 Kickoff

 

Theme 1: Causal Inference

9:30 to 10:30 Tutorial by Prof. Navdeep Sahni (Stanford University): Designing Online Experiments

10:15 to 10:45 Tutorial by Stefan Wager (Columbia University): Estimating Heterogeneous Treatment Effects

11:00 to 11:30 Talk by Prof. Eva Ascarza (Columbia University): Beyond the Target Customer: Social Effects of CRM Campaigns

11:30 to 12:30 Keynote speech by Prof. Eric Bradlow (University of Pennsylvania): From Correlation to Causation: A Statistician's 20-Year Journey

 

Theme 2: Machine Learning and Text Mining

1:30 to 2:30 Tutorial by Prof. Olivier Toubia (Columbia University): Text Mining

2:45 to 3:15 Talk by Prof. Oded Netzer (Columbia University): When Words Sweat: Written Words Can Predict Default

3:15 to 3:55 Talk by Prof. Asim Ansari (Columbia University): Probabilistic Topic Modeling for Recommendations and Personalized Search

 

 

 

The workshop is cosponsored by the Center for Financial and Business Analytics housed under the Data Science Institute at Columbia University.

 

The workshop is targeted towards PhD students and other researchers interested in applications of statistics to marketing and business phenomena, broadly defined. We expect students in Marketing, Statistics, Information Systems, Operations, and Computer Science to be especially interested.

The themes of the workshop will be Causal Inference and Machine Learning/Text Mining, and it includes tutorials and talks on these themes by distinguished marketing and statistics faculty.

Prof. Eric Bradlow, the K.P. Chao Professor, Professor of Marketing, Statistics, Education and Economics at the University of Pennsylvania and a Fellow of the American Statistical Association, will give the keynote lecture.

The workshop will be held from 8:30 am to 4:00 pm in Davis Auditorium in the Schapiro Center for Engineering and Physical Science Research (Schapiro CEPSR) on the Columbia University campus.

This will be followed by a reception from 4:30 pm to 6:30 pm at Bernheim and Schwartz, a restaurant near the Columbia University campus.

 

The workshop is free for PhD students. There is a small charge of $15 for attending the reception.

You can purchase tickets for only the workshop or for both the workshop and the reception.

A limited number of paid seats are available for faculty, masters students and non-academics/practitioners.

 

For questions, email Kinshuk Jerath at jerath@columbia.edu.