activity
20182022
collaborators

5 papers

stat.CO2022

Population-Based Hierarchical Non-negative Matrix Factorization for Survey Data

Xiaofu Ding, Xinyu Dong, Olivia McGough +6

Motivated by the problem of identifying potential hierarchical population structure on modern survey data containing a wide range of complex data types, we introduce population-bas…

stat.CO2021

SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests in Biobank Data

Jocelyn T. Chi, Ilse C. F. Ipsen, Tzu-Hung Hsiao +5

The explosion of biobank data offers immediate opportunities for gene-environment (GxE) interaction studies of complex diseases because of the large sample sizes and the rich colle…

stat.CO2020

A User-Friendly Computational Framework for Robust Structured Regression with the L Criterion

Jocelyn T. Chi, Eric C. Chi

We introduce a user-friendly computational framework for implementing robust versions of a wide variety of structured regression methods with the L criterion. In addition to…

math.NA2020

Multiplicative Perturbation Bounds for Multivariate Multiple Linear Regression in Schatten -Norms

Jocelyn T. Chi, Ilse C. F. Ipsen

Multivariate multiple linear regression (MMLR), which occurs in a number of practical applications, generalizes traditional least squares (multivariate linear regression) to multip…

stat.ML2018

A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression

Jocelyn T. Chi, Ilse C. F. Ipsen

Linear regression is a classic method of data analysis. In recent years, sketching -- a method of dimension reduction using random sampling, random projections, or both -- has gain…