
Smoothing splines approximation using Hilbert curve basis selection
Smoothing splines have been used pervasively in nonparametric regression...
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A Modelfree Variable Screening Method Based on Leverage Score
With rapid advances in information technology, massive datasets are coll...
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Modelbased Sparse Coding beyond Gaussian Independent Model
Sparse coding aims to model data vectors as sparse linear combinations o...
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Best Subset Selection: Statistical Computing Meets Quantum Computing
With the rapid development of quantum computers, quantum algorithms have...
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Largescale optimal transport map estimation using projection pursuit
This paper studies the estimation of largescale optimal transport maps ...
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Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
Background: Extensive clinical evidence suggests that a preventive scree...
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LowCon: A designbased subsampling approach in a misspecified linear modeL
We consider a measurement constrained supervised learning problem, that ...
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Sufficient dimension reduction for classification using principal optimal transport direction
Sufficient dimension reduction is used pervasively as a supervised dimen...
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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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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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More efficient approximation of smoothing splines via spacefilling basis selection
We consider the problem of approximating smoothing spline estimators in ...
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Minimax Nonparametric Twosample Test
We consider the problem of comparing probability densities between two g...
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Minimax Nonparametric Parallelism Test
Testing the hypothesis of parallelism is a fundamental statistical probl...
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Wenxuan Zhong
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