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08/23/2023
Leverage classifier: Another look at support vector machine
Support vector machine (SVM) is a popular classifier known for accuracy,...
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03/14/2023
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
The Internet of Things (IoT) system generates massive high-speed tempora...
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05/31/2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
Subsampling methods aim to select a subsample as a surrogate for the obs...
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12/19/2021
Managing dataset shift by adversarial validation for credit scoring
Dataset shift is common in credit scoring scenarios, and the inconsisten...
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09/24/2021
Smoothing splines approximation using Hilbert curve basis selection
Smoothing splines have been used pervasively in nonparametric regression...
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07/18/2021
Best Subset Selection: Statistical Computing Meets Quantum Computing
With the rapid development of quantum computers, quantum algorithms have...
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06/09/2021
Large-scale optimal transport map estimation using projection pursuit
This paper studies the estimation of large-scale optimal transport maps ...
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10/23/2020
LowCon: A design-based subsampling approach in a misspecified linear modeL
We consider a measurement constrained supervised learning problem, that ...
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10/19/2020
Sufficient dimension reduction for classification using principal optimal transport direction
Sufficient dimension reduction is used pervasively as a supervised dimen...
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08/07/2020
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research
Optimal transport has been one of the most exciting subjects in mathemat...
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04/21/2020
An Asympirical Smoothing Parameters Selection Approach for Smoothing Spline ANOVA Models in Large Samples
Large samples have been generated routinely from various sources. Classi...
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03/24/2020
More efficient approximation of smoothing splines via space-filling basis selection
We consider the problem of approximating smoothing spline estimators in ...
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02/24/2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
The statistical analysis of Randomized Numerical Linear Algebra (RandNLA...
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11/06/2019
Minimax Nonparametric Two-sample Test
We consider the problem of comparing probability densities between two g...
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11/06/2019
Minimax Nonparametric Parallelism Test
Testing the hypothesis of parallelism is a fundamental statistical probl...
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02/10/2019
Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework
Many scientific studies collect data where the response and predictor va...
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02/03/2017
Optimal Subsampling for Large Sample Logistic Regression
For massive data, the family of subsampling algorithms is popular to dow...
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09/17/2015
Optimal Subsampling Approaches for Large Sample Linear Regression
A significant hurdle for analyzing large sample data is the lack of effe...
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06/23/2013