5 papers
Adaptive Regularization via Extreme Value Distributions for Gaussian Graphical Models
Alexander P. Christensen, Jeongwon Choi, Haoyi Yang +1
Edge selection in Gaussian graphical models is fundamentally a variable selection problem where pairwise relationships determine construct validity and variable importance in psych…
Variable Selection for Additive Global Fréchet Regression
Haoyi Yang, Satarupa Bhattacharjee, Lingzhou Xue +1
We present a novel framework for variable selection in Fréchet regression with responses in general metric spaces, a setting increasingly relevant for analyzing non-Euclidean data…
Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
Rui Ren, Haoyi Yang, Qian Xiao +2
Mediation analysis has become a widely used method for identifying the pathways through which an independent variable influences a dependent variable via intermediate mediators. Ho…
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li, Lingzhou Xue, Haoyi Yang +1
Testing differences in mean vectors is a fundamental task in the analysis of high-dimensional compositional data. Existing methods may suffer from low power if the underlying signa…
Theoretical Guarantees for Sparse Principal Component Analysis based on the Elastic Net
Teng Zhang, Haoyi Yang, Lingzhou Xue
Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis. Despite many methodological and the…