invited.html

Invited Session Scientific Committee

Javier Rojo, Chair -- Rice University

Jane Ling Wang -- UC Davis

Rudy Guerra -- Rice University

Juliet P. Shaffer -- UC Berkeley

Wei-Yin Loh -- University of Wisconsin-Madison

Peter J. Bickel -- UC Berkeley

Kjell Doskum -- University of Wisconsin-Madison

Yongzhao Shao -- New York University

Demissie Alemayehu -- Pfizer

James O. Berger -- Duke University

INVITED PROGRAM AT A GLANCE

Invited Sessions

Wei-Yin Loh Chair	Statistical problems in the analysis of genomic and magnetic resonance imaging data
	Sunduz Keles -- University of Wisconsin, Madison	Statistical issues arising in the study of transcription regulation
	Shaw-Hwa Lo -- Columbia University	A method toward mapping of common traits
	Young K. Truong -- UNC at Chapel Hill	Spatio-temporal modeling for fMRI data
Jane-Ling Wang Chair	Recent Advances in Non and Semiparametric Modeling
	Kjell Doksum -- University of Wisconsin, Madison	Semiparametric models based on transformations and extremes
	Xihong Lin -- Harvard School of Public Health	Statistical challenges in analyzing mass spectrometry proteomic data
	Naisyin Wang -- Texas A&M University	Analysis of Hierarchical Biomedical Data Using Semiparametric Models
Juliet P. Shaffer Chair	Multiplicity: Developments and current issues
	Charles Lewis -- Fordham University	Bayesian Decision Theory for Multiple Comparisons
	Helmut Finner -- German Diabetes Center, Duesseldorf	Testing for equivalence in k sample models
	Ajit C. Tamhane -- Northwestern University	A Mixture Model Approach to Estimating the Number of True Null Hypotheses and Adaptive Control of FDR
Javier Rojo Organizer	Young Investigators
Yolanda Muñoz Chair
	Brisa N. Sanchez -- University of Michigan	Residual-based diagnostics for structural equation models
	Jose Enrique Figueroa -- Purdue University	Non-parametric estimation for some models driven by Levy processes
	Yolanda Muñoz Maldonado -- UT Health Sc Center Houston	Penalized least squares and frequentist and bayesian mixed-effects models
	Farinaz Koushanfar -- Rice University	How challenging is the data set?
Kjell Doksum Chair	Semiparametric models, longitudinal survival data, false discovery rate, and brain fMRI
	Jane-Ling Wang -- UC Davis	Semiparametric Analysis of longitudinal Data Truncated by Event-time
	Kam-Wah Tsui and Shijie Tang -- University of Wisconsin, Madison	Simultaneous testing of multiple hypotheses using generalized p-values
	Chunming Zhang -- University of Wisconsin, Madison	Semiparametric Detection of Significant Activation for Brain fMRI
James O. Berger Chair	Multiple testing and subgroup analysis
	Juliet P. Shaffer -- University of California, Berkeley	Multiplicity and subgroup analysis
	Peter Mueller -- UT MD Anderson Cancer Center	The Optimal Discovery Procedure and Bayesian Decision Rules
	Susie Bayarri -- Universidad de Valencia, Spain	Bayesian and Frequentist Handling of Multiple Testing
Javier Rojo, Organizer Christian Houdre, Chair	Probability, Levy Process, and Applications
	Dennis D. Cox -- Rice University	Multiscale Models for Chemical Reaction Processes
	Davar Khoshnevisan -- The University of Utah	On Some Applications of Stable Processes
	Christian Houdre -- Georgia Institute of Technology	Generic Concentration Inequalities
Peter J. Bickel Chair	Regularized methods of classification and estimation of nonparametric regression and covariance matrices when data is high dimensional
	Wei-Yin Loh -- University of Wisconsin, Madison	Regression and variable selection in large p, small n problems
	Debashis Paul -- University of California, Davis	Principal component analysis for structured high-dimensional data
	Ya'acov Ritov -- Hebrew University	Consistent learning methods are approximately local
Demissie Alemayehu and Yongzhao Shao, Organizers Yongzhao Shao, Chair	Statistical Inference for Population Substructures via Clustering, Mixture Models and other Approaches	Session Summary
	Bruce G. Lindsay -- Penn State University	Modal inference: Halfway between clustering and mixture analyses
	Yuewu Xu -- Fordham University	A limit theory for likelihood ratio test under unidentifiability for general dependent processes
	Yongzhao Shao -- New York University School of Medicine	Recent developments in likelihood theory with applications to testing homogeneity in finite mixture models and other models
Rudy Guerra Chair	Statistical Optimality in Bioinformatics: Theory vs Practice	Session Summary
	David Dahl-- Texas A&M University	Simultaneous Inference for Multiple Testing and Clustering via Dirichlet Process Mixture Models
	Chad Shaw -- Baylor College of Medicine	Using Annotations in the Analysis of Genome Scale Data
	Rudy Guerra -- Rice University	Incorporating biological knowledge in gene expression analysis