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07/21/2023
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
The expectation-maximization (EM) algorithm and its variants are widely ...
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06/21/2023
High-dimensional Tensor Response Regression using the t-Distribution
In recent years, promising statistical modeling approaches to tensor dat...
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04/13/2023
Slicing-free Inverse Regression in High-dimensional Sufficient Dimension Reduction
Sliced inverse regression (SIR, Li 1991) is a pioneering work and the mo...
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07/12/2022
Envelopes and principal component regression
Envelope methods offer targeted dimension reduction for various models. ...
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12/18/2020
A Doubly-Enhanced EM Algorithm for Model-Based Tensor Clustering
Modern scientific studies often collect data sets in the forms of tensor...
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04/06/2019
TULIP: A Toolbox for Linear Discriminant Analysis with Penalties
Linear discriminant analysis (LDA) is a powerful tool in building classi...
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05/11/2018
