Contributed Papers

Foundational Estimation and Inference Techniques: New Developments and Applications

Wed, Aug 6, 10:30 AM - 12:20 PM Room CC-Davidson Ballroom A2 Music City Center

Hanxuan YeChair

International Chinese Statistical Association

6 Presentations

Assigning Important Factors to Good Design Columns for Better Experimental Analysis

10:35 AM - 10:50 AM

Co-authors: Frederick Kin Hing Phoa (Academia Sinica), Frederick Kin Hing Phoa (Academia Sinica), Yi-Hua Liao (Institute of Statistics, National Tsing Hua University), Dave C. Woods (Southampton Statistical Sciences Research Institute, University of Southampton)

Summary of Effect Aliasing Structure (SEAS)supersaturated design (SSD)factorial designs factor assignment

Characterizing and comparing order-of-addition orthogonal arrays

10:50 AM - 11:05 AM

Co-authors: Shin-Fu Tsai (National Taiwan University), Shin-Fu Tsai (National Taiwan University)

Experimental design Hadamard matrix Hamming distance Inversion J-characteristic Projection property

Fast approximation of Shapley values through factorial designs

11:05 AM - 11:20 AM

Co-authors: wei zheng, Robert Mee (University of Tennessee), Zheng Zhou (Beijing University of Technology)

interoperable artificial intelligence design of experiments computation game theory

Generalized Method of Moments Approaches for Analyzing Recurrent Event Data

11:20 AM - 11:35 AM

Co-authors: Yu-Jen Cheng (National Tsing Hua University, Taiwan), Yu-Jen Cheng (National Tsing Hua University, Taiwan)

Generalized method of moments Recurrent event data Informative censoring Covariate-dependent frailty

Principal Components Decomposition of Fraction of Variance in High Dimensional Linear Models

11:35 AM - 11:50 AM

Co-authors: Man Luo (UC San Diego, Department of Family Medicine & Public Health), Chun Chieh Fan (Laureate Institute for Brain Research), Man Luo (UC San Diego, Department of Family Medicine & Public Health), David Azriel (Technion), Armin Schwartzman (University of California, San Diego)

The fraction of variance explained (FVE)brain imaging high dimensional principal component decomposition

Unified robust estimation

11:50 AM - 12:05 PM

Co-authors: Zhu Wang, Zhu Wang

robust MM algorithm variable selection SVM iteratively reweighted GLM