DIMACS Workshop on Analysis of Information from Diverse Sources

May 16 - 17, 2013
DIMACS Center, CoRE Building, Rutgers University

Organizers:

Min-ge Xie, Rutgers University, mxie at stat.rutgers.edu

Abel Rodriguez, University of California

Workshop Program:

 
Thursday, May 16, 2013  

 8:30 -  9:00  Breakfast & Registration    

 9:00 -  9:05  Welcome
               Minge Xie, Rutgers University
               Abel Rodriguez, University of California

 9:05 -  9:15  Opening Remarks
               Jim Masschaele, School of Arts and Sciences/Rutgers University
               Regina Liu, Statistics/Rutgers University

 9:15 -  9:50  Text Network
               David Banks, Duke University     

 9:50 - 10:25  Inferring Regulatory Networks by Combining 
               Perturbation Screens and Steady State Gene Expression Profiles 
               George Michailidis, University of Michigan

10:25 - 10:40  Break   

10:40 - 11:15  Combining Single and Two Group Outcome 
               Risks/Comparisons from Multiple Studies of Safety
	       Nick Jewell, UC-Berkeley

11:15 - 11:50  Bayesian Network Meta-Analysis for 
               Unordered Categorical Outcomes With Incomplete Data 
               Chris Schmid, Brown University

11:50 - 12:25  Confidence distribution approaches to efficient 
               meta-analysis of heterogeneous studies 
               Dungang Liu, Yale University 

12:25 -  1:35  Lunch  

 1:35 -  1:45  Director's Welcome 
               Rebecca Wright, Director of DIMACS		 

 1:45 -  2:20  Development of Power Priors for Incorporating 
               Historical Data with Applications
	       Ming-hui Chen, University of Connecticut

 2:20 -  2:55  Efficiency of Bayesian procedures and the
               frequentist-Bayes connection in some high dimensional problems 
	       Natesh Pillai, Harvard University 

 2:55 -  3:30  One-shot learning and big data with n=2
               Lee Dicker, Rutgers University

 3:30 -  3:50  Break

 3:50 -  4:25  Unsupervised learning of compositional sparse code for natural image representation
	       Yingnian Wu, UCLA

 4:25 -  5:00  Design and Analysis for Multifidelity Computer Experiments
               Ying Hung, Rutgers University

 5:30          Workshop Dinner  

Friday, May 17, 2013  

 8:15 -  8:50  Breakfast and Registration   

 8:50 -  9:25  Genetic Studies of Multivariate Traits
	       Heping Zhang, Yale University 

 9:25 - 10:00  Combining information from different sources: A resampling approach
               Soumen Lahiri, North Carolina State University 

10:00 - 10:35  Nonparametric inference for meta-analysis with fixed, unknown,
               study-specific parameters:  A resampling of confidence distributions approach
	       Brian Claggett, Harvard University

10:35 - 10:45  Break  

10:45 - 11:20  Bayesian Inference for General Gaussian Graphical 
               Models With Application to Multivariate Lattice Data
               Abel Rodriguez, UC-Santa Cruz

11:20 - 11:55  Scaling It Up: Stochastic Graphical Model Determination
               under Spike and Slab Prior Distributions
               Hao Wang, University of South Carolina

11:55 - 12:30  A Bayesian Nonparametric Approach for Spatial Point Processes
               Gavino Puggioni, University of Rhode Island

12:30 -  1:05  Revolutionizing Policy Analysis Using "Big Data" Analytics
               Siddhartha R. Dalal, RAND Corporation, Columbia University & DIMACS, Rutgers 

 1:05 -  1:15  Closing Remarks/Discussion
   
 1:15 -  2:30  Lunch

Previous: Participation

Next: Registration

Workshop Index

DIMACS Homepage