5 citations · 9 across the 5 of their papers we have counts for
5 papers
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu +3
Many studies in biomedical and health sciences involve small sample sizes due to logistic or financial constraints. Often, identifying weak (but scientifically interesting) associa…
Using distance covariance for improved variable selection with applications to genetic risk models
Jing Kong, Sijian Wang, Grace Wahba
Variable selection is of increasing importance to address the difficulties of high dimensionality in many scientific areas. In this paper, we demonstrate a property for distance co…
Group variable selection via convex Log-Exp-Sum penalty with application to a breast cancer survivor study
Zhigeng Geng, Sijian Wang, Menggang Yu +3
In many scientific and engineering applications, covariates are naturally grouped. When the group structures are available among covariates, people are usually interested in identi…
Penalized Likelihood Regression in Reproducing Kernel Hilbert Spaces with Randomized Covariate Data
Xiwen Ma, Bin Dai, Ronald Klein +3
Classical penalized likelihood regression problems deal with the case that the independent variables data are known exactly. In practice, however, it is common to observe data with…
LASSO-Patternsearch algorithm with application to ophthalmology and genomic data
Weiliang Shi, Grace Wahba, Stephen Wright +3
The LASSO-Patternsearch algorithm is proposed to efficiently identify patterns of multiple dichotomous risk factors for outcomes of interest in demographic and genomic studies. The…