Workshop on Statistical Issues in Analyzing Information from Diverse Sources

May 6 - 7, 2010
CICCADA Center, CoRE Building, Rutgers University

Organizers:

Tami Carpenter, Rutgers University, tcar at dimacs.rutgers.edu

Minge Xie, Rutgers University, mxie at stat.rutgers.edu

• Tami Carpenter, Rutgers University
  Opening remarks and CCICADA overview

• Robert Bell, AT & T Labs Research
  Using Diverse Types of Statistical Evidence

• Jim Berger, Duke University
  The Bayesian Approach to Combination of Evidence

• Graham Cormode, AT&T Labs - Research
  Anonymization and Uncertainty in Social Network Data

• Peter Jones, Yale
  Product Formulas for Positive Functions and Applications to Network Data

• Bani Mallick, Texas A & M University
  Bayesian UQ for subsurface inversion using multiscale hierarchical model

• Sharon-Lise Normand, Harvard University
  Combining Multiple Data Sources for Comparative Effectiveness

  Cynthia Rudin, MIT
  Mitigating Manhole Events in New York City Using Machine Learning
  The speaker will provide the slides by request.

• L. J. Wei, Harvard University
  Two Newly Developed Quantitative Methods for Meta Analysis

• Tian Zheng, Columbia University
  Evaluating the Repeatability of Two Studies of a Large Number of Objects: Modified Kendall Rank-order Association Test

Document last modified on June 2, 2010.