Second Stern-Wharton Statistics Conference


Friday, May 2nd, 2008

Sponsored by the

Department of Statistics

The Wharton School of Business, University of Pennsylvania

Cosponsor

Department of Information, Operations and Management Sciences

Leonard N. Stern School of Business, New York University


Abstract

This conference brings together the statistics departments of the Stern and Wharton Schools of Business to share research in methodologies and applications of statistics.  All interested researchers and practitioners are welcome. 

Each speaker will present for 35 minutes followed by a 10 minute discussion period.

All interested attendees must register in advance by Friday, April 18. In order to register, please e-mail name, title, affiliation and address to Adam Greenberg, gadam@wharton.upenn.edu.  The registration fee of $15, which includes continental breakfast, refreshments, a box lunch, and an evening reception, is waived for students, faculty, and staff of New York University and of the University of Pennsylvania. If you are not a Penn or NYU student, staff or faculty member please mail a check for $15 made out to University of Pennsylvania Department of Statistics to Adam Greenberg, Department of Statistics, 3730 Walnut St., Philadelphia, PA 19104. 

Conference Coordinators:

Edward I. George, Professor of Statistics, Wharton School of Business
Dylan Small, Assistant Professor of Statistics, Wharton School of Business
Gary Simon, Professor of Statistics, Stern School of Business

For additional information:
phone: (215)-898-8222
E-mail: Adam Greenberg, gadam@wharton.upenn.edu


FRIDAY,  May 2,  Jon M. Hunstman Hall, Room 250
8:15am      Registration and Continental Breakfast
8:50am      Welcome, Abba Krieger and Ed George
            
SESSION 1:  Chair, Jeff Simonoff, The Stern School
9:00am      Rebecca Sela, The Stern School
Computationally Efficient Gaussian Maximum Likelihood Methods for Vector ARFIMA Models
9:45am      Abhishek Gupta, The Wharton School
Unsupervised Learning of Distance Metrics Using Predictability
10:30am     Refreshment Break

SESSION 2:  Chair, Dylan Small, The Wharton School

10:45am     Avi Giloni, Sy Syms School of Business, Yeshiva University
            Information Sharing in a Multi-Stage Supply Chain Under ARMA Demand
11:30am     Tony Cai, The Wharton School
Large-Scale Multiple Testing: Finding Needles in a Haystack
12:15pm     Lunch Break
            Box lunch in the conference room, Huntsman Hall 250.
SESSION 3:  Chair, Ed George, The Wharton School
1:30pm      Chaitra Nagaraja, The Wharton School
From California to Connecticut: Examining House Price Models for the USA 2:15pm      Yufeng Ding, Moody’s
            An Investigation of Missing Data Methods for Classification Trees (with Extension to Logistic Regression)
 
3:00pm      Refreshment Break


SESSION 4:  Chair, Gary Simon, The Stern School
 
3:15pm      Larry Brown, The Wharton School
            In-Season Prediction of Batting Averages: A Field-test of Basic  Empirical Bayes and Bayes Methodologies
4:00pm      Robert Engle, The Stern School
Dynamic Equicorrelation
COCKTAIL RECEPTION 5:30pm      The Drinker House, home of Edward George
241 Pine St., Philadelphia, PA 19106
All sessions will be held in Room 250 on the second floor of Jon M. Hunstman Hall, 3730 Walnut St.
Directions to the University of Pennsylvania are available here http://www-stat.wharton.upenn.edu/statweb/Information/Direction.html
The location of Hunstman Hall is shown here http://www-stat.wharton.upenn.edu/Images/pennmap.gif
An interactive campus map is here http://www.facilities.upenn.edu/mapsBldgs/view_map.php3?id=1
There is a public parking garage across the street from Huntsman Hall at the corner of 38th & Walnut Sts.
 
A hotel near the University of Pennsylvania is the University City Sheraton http://www.philadelphiasheraton.com/.
Discounted rooms are available to conference participants if reservations are made by April 1st.  
Participants should identify themselves as attendees of the Stern-Wharton conference to receive the discount. 
Reservations can be made by calling 1-877-459-1146.