Frontiers of Applied Statistics in Marketing

 

The Statistics in Marketing Section of the American Statistical Association

is pleased to announce a

Workshop on Frontiers of Applied Statistics in Marketing”

on

April 21, 2017

at

Columbia University

 

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.

For directions to the workshop venue, click here. For direction to the reception venue, click here.

 

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.

 

Please purchase your tickets here.

 

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

 

Frontiers of Applied Statistics in Marketing (FASM) Program Details

 

Location info:

8:30 am to 4:00 pm: Davis Auditorium (directions)

4:30 pm to 6:30 pm: Bernheim and Schwartz (info)

 

Introduction

8:30 to 9:15 Breakfast

9:15 to 9:30 Kickoff

 

Theme 1: Causal Inference

 

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

10:30 to 11:00 Talk on application by Prof. Eva Ascarza (Columbia University)

11:00 to 11:15 Break

11:15 to 12:00 Tutorial on Estimating Heterogeneous Treatment Effects by Stefan Wager (Columbia University)

 

Keynote

 

12:00 to 1:30 Lunch break

12:15 to 1:15 Keynote speech by Prof. Eric Bradlow (University of Pennsylvania)

 

Theme 2: Machine Learning and Text Mining

 

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

2:30 to 2:45 Break

2:45 to 3:15 Talk on application by Prof. Asim Ansari (Columbia University)

3:15 to 3:45 Talk on application by Prof. Oded Netzer (Columbia University)

 

Conclusion and Networking

 

3:45 to 4:00 Workshop wind up

4:30 to 6:30 Reception at Bernheim and Schwartz