| IMS/ENAR Spring 2002 Program |
|---|
IMS SPECIAL INVITED PAPER SESSION:
Chair/Introducer: Nidhan Choudhuri, Case Western Reserve University
| Speakers: | 1. Rob Kass, Carnegie Mellon University |
| Title: Bayesian Curve-Fitting and Neuron Firing Patterns: | |
| The Problem of Neural Coding From a Statistician's Perspective | |
| 2. Robert L Wolpert, Duke University | |
| Title : L'evy Random Fields and Statistical Inverse Problems | |
| Discussants: Tilmann Gneiting & Julian Besag, University of Washington |
Session 1: Clustering and Mixture Modeling Applications
Organizer and Chair: David W. Scott, Rice University
| Speakers: | 1. Bruce Lindsay, Penn State University |
| Co-author: Changxuan Mao, Penn State U. | |
| Title: Heterogeneity in population size models | |
| 2. Carey Priebe, The Johns Hopkins University | |
| Title: Class Cover Catch Digraphs for Latent Class | |
| Discovery in Gene Expression Monitoring | |
| 3. Guenther Walther, Stanford University | |
| Title: Mixture Analysis for Flow Cytometry | |
| Discussant: | David Scott, Rice University |
Session 2: Recent Advances in Dimension Reduction for Regression
Organizer: Dennis Cook, University of Minnesota
Chair: Efstathia Bura, George Washington University
| Speakers: | 1. Dennis Cook, University of Minnesota |
| Title: Overview of Dimension Reduction Ideas and Methods for Regression | |
| 2. Bing Li, Penn State University | |
| Title: Statistical Inference for the Central Mean Space | |
| 3. Francesca Chiaromonte, Penn State University | |
| Title: Extending Dimension Reduction to Regressions with Categorical Predictors |
Session 3: Semiparametric models in survival analysis
Organizer and Chair: Zhiliang Ying, Columbia University
| Speakers: | 1. Alex Tsodikov, University of Utah |
| Title: A generalized self-consistency approach to semiparametric survival models | |
| 2. Jason Fine, University of Wisconsin | |
| Title: Comparing non-nested Cox models | |
| 3. Kani Chen, Hong Kong University of Science and Technology | |
| Title: Semiparametric analysis of transformation models |
Session 4:
Some Recent Developments and Applications
of Random Partition Distributions
Organizer: Hemant Ishwaran, Cleveland Clinic Foundation
Chair: Ramani Pillai, University of Illinois
| Speakers: | 1. Hemant Ishwaran, Cleveland Clinic Foundation |
| Title: Generalized Chinese Restaurant Processes | |
| Partitions, and Applications to Finite Mixture Models | |
| 2. Fred M. Hoppe, McMaster University | |
| Title: Continuous time processes, Bayesian models, and partition structures | |
| 3. Lancelot F. James, Johns Hopkins University | |
| Title: Random partition structures and Bayesian models | |
| 4. Simon Tavare, University of Southern California | |
| Title: Poisson-Dirichlet approximations for random permutations: | |
| a tale of three couplings |
Session 5: Applications of Function Estimation
Organizer and Chair: Catherine Loader, Bell Lab, Lucent
| Speakers: | 1. Colin Wu, Johns Hopkins University |
| Title: Covariate centering and scaling in varying-coefficient models | |
| with repeated measurements | |
| 2. Lyndia C. Brumback and Mary J. Lindstrom, U of Wisconsin | |
| Title: Self-modeling with flexible, random time transformations | |
| 3. Jianqing Fan and Run-Ze Li, UNC and Penn State U | |
| Title: Variable selection for Cox's proportional hazards model and frailty model |
Session 6: Monte Carlo In Action
Organizer: Jun Liu, Harvard University
Chair: Scott Schmidler, Duke University
(ENAR co-sponsors this IMS session)
| Speakers: | 1. Rong Chen, The University of Illinois at Chicago |
| Title: Advance Sequential Monte Carlo and their Applications | |
| in Nonlinear/Non-Gaussian Dynamic Systems | |
| 2. John Huelsenbeck, University of Rochester | |
| Title: Bayesian inference of phylogeny using Markov chain Monte Carlo | |
| 3. Matthew Stephens, University of Washington | |
| Title: The haplotyping problem - a Bayesian method |
Session 7: New Software
Organizer and Chair: Heping Zhang, Yale University
Chair: Hongtu Zhu, Yale University
| Speakers: | 1. Catherine Loader, Bell Lab, Lucent |
| Title: Simultaneous Confidence Bands | |
| 2. Jiayang Sun, Case Western Reserve University | |
| Title: Interactive Projection Pursuit | |
| 3. Charles Kooperberg, Fred Hutchinson Cancer Research Center, Seattle WA | |
| Co-author: Ingo Ruczinski, Johns Hopkins University | |
| Title: Logic Regression |
Session 8: Statistics in Brain Mapping
Organizer: Keith Worsley, McGill University
Chair: Song Yang, Texas Tec University
| Speakers: | 1. Moo K. Chung, McGill University |
| Title: Statistical morphometry in neuroanatomy | |
| 2. Chris Genovese, Carnegie Mellon University | |
| Title: Bayesian analysis of fMRI time series | |
| 3. Ziad S. Saad, NIMH | |
| Title: Estimating the Variability of BOLD-FMRI Response Delays |
IMS CONTRIBUTED PAPERS SESSIONS
Session 1: Statistics in Medical Sciences and Methodology
Chair: Jun Zhu, University of Wisconsin
| Speakers: | 1. Yi Li, Harvard School of Public Health |
| Title: The Use of Frailty Hazard Models for Unrecognized Heterogeneity that Interacts with Treatment: Considerations of Efficiency and Power | |
| 2. Samuel S. Wu, University of Florida | |
| Title: A Multivalent Pairing Model of Linkage Analysis in Autotetraploids | |
| 3. Song Yang, Texas Tech University | |
| Title: Combining Asymptotically Normal Tests | |
| 4. John E Kolassa, Rutgers University | |
| Title: Small Sample Confidence Regions for Exponential Families | |
| 5. Samad Hedayat, University of Illinois at Chicago | |
| Title: Adding More Observations to Saturated D-optimal Resolution III Two-level Factorial Designs | |
| 6. Heng Li, University of Rochester | |
| Title: Constrained Linear Group Symmetry Models |
Session 2: Analysis of Imaging and Spatial Data (combined with ENER papers)
| Speakers: | 1. Vera L. Bulaevskaya, University of Minnesota |
| Title: A Bayesian Approach to MRI Image Reconstruction |
Session 3: Anlaysis of Gene Expression Data (combined with ENER papers)
| Speakers: | 1. Jorg Rahnenfuhrer, Nebraska Informatics Center for the Life Sciences |
| Title: Robust Microarray Image Analysis Through Pixel Clustering |
Session 4: Anlaysis of Recurrent Event Data (combined with ENER papers)
| Speakers: | 1. Edsel A Pena, University of South Carolina, Columbia |
| Title: A General Class of Models for Recurrent Events |
Contributed Posters (combined with ENAR's)
| Authors: | 1. Jianwei Chen, University of North Carolina at Chapel Hill |
| Title: Nonparametric Modeling of Auxiliary Covariate Data in the Generalized Linear Mixed Models |
ENAR Sessions Co-sponsored by IMS