JSM 2013 Home
Online Program Home
My Program

Keyword Search

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Keyword Search Criteria: Graphical Models returned 15 record(s)
Monday, 08/05/2013
Efficient Inference in Large Graphical Models Using Bayesian Non-Negative Tensor Decompositions
Hongxia Yang, IBM T.J. Watson Research Center; Yinglong Xia, IBM T.J. Watson Research Center; Yasuo Amemiya, IBM T.J. Watson Research Center; Ching-Yung Lin, IBM T.J. Watson Research Center
11:20 AM

Estimation of Symmetry-Constrained Gaussian Graphical Models: Application to Clustered Dense Networks
Xin Gao, York University; Helene Massam, York University
11:25 AM

Bayesian Clustering in Decomposable Graphs
Luke Bornn, Department of Statistics, Harvard University; François Caron, INRIA Bordeaux - Sud-Ouest
11:35 AM

Tuesday, 08/06/2013
Learning Hierarchical Models
Ruslan Salakhutdinov, University of Toronto
9:35 AM

Identifying Functional Co-Activation Patterns in Neuroimaging Studies via Poisson Graphical Models
Wenqiong Xue, Emory University; Jian Kang, Emory University; DuBois Bowman, Emory University; Tor D. Wager, University of Colorado, Boulder; Jian Guo, Harvard University
11:05 AM

Population Inference for Differential Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University
11:20 AM

Posterior Convergence Rates for Estimating Large Precision Matrices Using Graphical Models
Sayantan Banerjee, North Carolina State University; Subhashis Ghosal, North Carolina State University
11:55 AM

Parsimonious Representation of Random Variables in Data Cubes
Phillip Yelland, Google Inc
2:35 PM

Wednesday, 08/07/2013
Parameter and Structure Learning in Nested Markov Models of Acyclic Directed Mixed Graphs
Ilya Shpitser, Harvard School of Public Health; Thomas S. Richardson, University of Washington; James Robins, HSPH; Robin Evans, University of Cambridge
9:00 AM

Restricted Covariance Priors with Applications in Spatial Statistics
Adrian Dobra, University of Washington; Theresa Ruth Smith, University of Washington
9:50 AM

Bayesian Graphical Models for Gene X Environment Interaction
Paola Sebastiani, Boston University
10:55 AM

Poisson Graphical Models for Inferring Networks from Next-Generation Sequencing Data
Genevera Allen, Rice University; Zhandong Liu, Baylor College of Medicine; Euhno Yang, The University of Texas at Austin; Pradeep Ravikumar, The University of Texas at Austin
11:15 AM

Graph Estimation with Joint Additive Models
Arend Voorman, University of Washington; Ali Shojaie, University of Washington; Daniela Witten, University of Washington
2:50 PM

Thursday, 08/08/2013
Bayesian Sparse Graphical Models for Classification with Application to Protein Expression Data
Rajesh Talluri, UT M.D. Anderson Cancer Center
9:35 AM

Bayesian Inference of Multiple Gaussian Graphical Models
Christine Peterson, Rice University; Francesco Stingo, UT MD Anderson Cancer Center; Marina Vannucci, Rice University
10:35 AM




2013 JSM Online Program Home

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.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.