JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.



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Legend: = Applied Session, = Theme Session, = Presenter
Salt Palace Convention Center = “CC”, Grand America = “GA”

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478 Applied Session Theme Session Wed, 8/1/07, 2:00 PM - 3:50 PM CC-155 D
Financial Data Mining and Risk - Contributed - Papers
Section on Statistical Computing, Business and Economics Statistics Section, Society for Risk Analysis, Section on Statistical Graphics, Section on Nonparametric Statistics
Chair(s): Nozer D. Singpurwalla, The George Washington University
     2:05 PM   Statistical Methods for Detecting Financial Crimes: Applications and ChallengesAgus Sudjianto, Bank of America; Sheela Nair, University of California, Los Angeles
     2:20 PM   An Efficient Sequential Design Method for Detecting Money LaunderingXinwei Deng, Georgia Institute of Technology; Roshan Joseph, Georgia Institute of Technology; Agus Sudjianto, Bank of America; Chien-Fu Jeff Wu, Georgia Institute of Technology
     2:35 PM   Unsupervised Quantile Learning To Identify Principal Direction of AnomalyAijun Zhang, University of Michigan; Agus Sudjianto, Bank of America; Ming Yuan, Georgia Institute of Technology
     2:50 PM   Rule and Rule Ensemble-Based Methods for Financial Crime DetectionFernando Cela Diaz, Bank of America; Agus Sudjianto, Bank of America
     3:05 PM   Feature Extraction and Classification to Identify Suspicious ActivitiesAlireza Darvish, The University of North Carolina at Charlotte; Kayvan Najarian, The University of North Carolina at Charlotte
     3:20 PM   Simulating Goodness-of-Fit: Ensuring Fair Online AuctionsMichael Orkin, Exponent, Inc.; Andrew Ostarello, Exponent, Inc.
     3:35 PM   The Netflix Challenge for StatisticiansJ. Brian Gray, The University of Alabama
 

JSM 2007 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2007