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stat.ME2022
Testing the parametric form of the conditional variance in regressions based on distance covariance
Yue Hu, Haiqi Li, Falong Tan
In this paper, we propose a new test for checking the parametric form of the conditional variance based on distance covariance in nonlinear and nonparametric regression models. Inh…
stat.ME2015
ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning
Yue Hu, Eric Chi, Genevera I. Allen
Optimization approaches based on operator splitting are becoming popular for solving sparsity regularized statistical machine learning models. While many have proposed fast algorit…
stat.ME2014
Local-Aggregate Modeling for Big-Data via Distributed Optimization: Applications to Neuroimaging
Yue Hu, Genevera I. Allen
Technological advances have led to a proliferation of structured big data that have matrix-valued covariates. We are specifically motivated to build predictive models for multi-sub…