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04/17/2022
Multi-Model Ensemble Optimization
Methodology and optimization algorithms for sparse regression are extend...
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01/27/2022
Robust and efficient estimation of nonparametric generalized linear models
Generalized linear models are flexible tools for the analysis of diverse...
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02/17/2021
Split Modeling for High-Dimensional Logistic Regression
A novel method is proposed to learn an ensemble of logistic classificati...
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12/24/2020
Robust penalized spline estimation with difference penalties
Penalized spline estimation with discrete difference penalties (P-spline...
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08/03/2020
Robust optimal estimation of the mean function from discretely sampled functional data
Estimating the mean of functional data is a central problem in functiona...
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08/23/2019
M-type penalized splines for functional linear regression
Functional data analysis is a fast evolving branch of modern statistics,...
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06/20/2019
M-type penalized splines with auxiliary scale estimation
Penalized spline smoothing is a popular and flexible method of obtaining...
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12/13/2018
Split regression modeling
In this note we study the benefits of splitting variables variables for ...
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06/30/2018
Robust functional regression based on principal components
Functional data analysis is a fast evolving branch of modern statistics ...
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03/27/2018
Fast Computation of Robust Subspace Estimators
Dimension reduction is often an important step in the analysis of high-d...
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01/15/2018
Robust Inference for Seemingly Unrelated Regression Models
Seemingly unrelated regression models generalize linear regression model...
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11/27/2017
Robust variable screening for regression using factor profiling
Sure Independence Screening is a fast procedure for variable selection i...
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11/08/2011
