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02/15/2023
A model-free feature selection technique of feature screening and random forest based recursive feature elimination
In this paper, we propose a model-free feature selection method for ultr...
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10/21/2022
Dimension reduction of high-dimension categorical data with two or multiple responses considering interactions between responses
This paper models categorical data with two or multiple responses, focus...
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08/13/2022
A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structures
Multiresponse data with complex group structures in both responses and p...
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09/23/2021
Blocking, rerandomization, and regression adjustment in randomized experiments with high-dimensional covariates
Blocking, a special case of rerandomization, is routinely implemented in...
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03/06/2021
Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2^K factorial experiments
Stratified factorial experiments are widely used in industrial engineeri...
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03/24/2020
Interaction Pursuit Biconvex Optimization
Multivariate regression models are widely used in various fields such as...
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08/05/2019
Regression-adjusted average treatment effect estimates in stratified and sequentially randomized experiments
Stratified and sequentially randomized experiments are widely used in fi...
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04/09/2019
Sparse Laplacian Shrinkage with the Graphical Lasso Estimator for Regression Problems
This paper considers a high-dimensional linear regression problem where ...
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01/16/2019
Smooth Adjustment for Correlated Effects
This paper considers a high dimensional linear regression model with cor...
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12/02/2018
Model Selection and estimation of Multi Screen Penalty
We propose a multi-step method, called Multi Screen Penalty (MSP), to es...
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09/24/2018