New Frontiers in Multivariate and High-Dimensional Statistical Inference

Mon, Aug 4, 8:30 AM - 10:20 AM Room CC-Davidson Ballroom A2 Music City Center

Evan MasonChair

Section on Nonparametric Statistics

7 Presentations

Testing the Equality of High Dimensional Distributions

8:35 AM - 8:50 AM

Co-authors: Reza Modarres (George Washington University), Reza Modarres (George Washington University)

Interpoint distance;Concentration;Dissimilarity Indices.

Novel multiplier bootstrap tests for high-dimensional data

8:50 AM - 9:05 AM

Co-authors: Lyudmila Sakhanenko (Michigan State University), Lyudmila Sakhanenko (Michigan State University), Nilanjan Chakraborty (Missouri University of Science and Technology)

high-dimensional testing multiplier bootstrap MANOVA

Robust empirical likelihood variable selection for high dimensional single-index regression model

9:05 AM - 9:20 AM

Co-authors: Huybrechts Bindele (University of South Alabama), Olivia Atutey (University of South Alabama), Olivia Atutey (University of South Alabama)

Signed-rank norm Chi-square distribution Oracle property Variable selection.

Statistically Equivalent Blocks in Multivariate Hypothesis Testing with Applications to Life-testing

9:20 AM - 9:35 AM

Co-authors: Chase Holcombe (University of South Alabama), Subhabrata Chakraborti (The University of Alabama), Chase Holcombe (University of South Alabama)

Nonparametric Testing Distribution-Free Multivariate Life-testing Statistically Equivalent Blocks Two-Sample

Adaptive Two-Sample Testing Using Graph-Based Methods

9:35 AM - 9:50 AM

Co-authors: Mingshuo Liu, Mingshuo Liu, Hao Chen (University of California, Davis)

High dimensional statistics Graph-based method Adaptive method

Two-Sample Hypothesis Testing for Large Random Graphs of Unequal Size

9:50 AM - 10:05 AM

Co-authors: Xin Jin (The University of Tampa), Kit Chan (Bowling Green State University Statistics Committee), Xin Jin (The University of Tampa), Ian Barnett (University of Pennsylvania), Riddhi Pratim Ghosh (Bowling Green State Universty)

Two-sample hypothesis test Random graphs Asymptotic normality Bootstrap fMRI data

Measuring dependence of partition on covariates in cluster analysis

10:05 AM - 10:20 AM

Co-authors: Zhaoxi Zhang (University of Edinburgh), Zhaoxi Zhang (University of Edinburgh), Vanda Inacio (University of Edinburgh), Sara Wade (University of Edinburgh)

Mixture models Cluster analysis Covariate dependence Partition Underlap coefficient