Plenary Speakers
Bruce Brown, National University of Singapore
Cross-Validation-Free Cramer-von Mises Nonparametric
Smoothing
Regina Liu, Rutgers University
Data Depth and Nonparametric
Multivariate Statistics: Spacings, Ordering, and Beyond
Joe McKean, Western Michigan University
Use of Adaptive Robust R Procedures on Bioequivalence
Type Problems
Hannu Oja, University of Tampere
Multivariate Nonparametric Methods Based on Spatial Signs
and Ranks
List of Speakers
Somnath Datta, University of Louisville
Inverse Probability of
Censoring Weighted U-statistics for Right Censored Data with Applications
Suzanne Dubnicka, Kansas State University
Kernel Density Estimation with Missing Data
Sneh Gulati, Florida International University
Records and Hurricanes
Marc Hallin, Université Libre de Bruxelles
Optimal Detection of Fechner-Asymmetry
Jürg Hüsler, Universität Bern
Nonparametric Approach for Firms' Default
Bruce Lindsay, Penn State
Bruce's Adventures in Mixtureland
Ping Ma, University of Illinois at Urbana-Champaign
Penalized Clustering of Large Scale Functional Data with Multiple Covariates
John Marden, University of Illinois
Using Multivariate QQ-Plots to Assess Spherical Symmetry
Marianthi Markatou, Columbia University
Analysis of Variance of Cross Validation Estimators of the Generalization Error of Computer Algorithms
Mary Meyer, Colorado State University
Estimation of Hazard Rate Function under
Shape Restrictions using Regression Splines
Ömer Özturk, Ohio State University
Two-Sample Rank-Sum Test under Order Restricted Randomized Designs
Davy Paindaveine, Université Libre de Bruxelles
Rank-based Tests of Multivariate Independence in Independent Component Models
Annie Qu, Oregon State University
Consistent
Model Selection and Data-driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
Ronald Randles, University of Florida
Additive Noise Resistance of Location Estimators
Simon Sheather, Texas A&M University
Wild Cross-validation for Density Estimation
Hoben Thomas, Penn State
Finding Stable Individuals for
Reliability Theory: Extending 1908 Spearman-Yule Theory
Haiyan Wang, Kansas State University
Nonparametric Clustering on Mixtures of Functional Data
program of the Eberly College of Science
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