Kai Zhang

Associate Professor

University of North Carolina at Chapel Hill

United States

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About

Dr. Kai Zhang is an Associate Professor at the University of North Carolina at Chapel Hill, USA. His research primarily focuses on statistical methods, including binary expansion testing, extreme value theory, and genomic data analysis. He has published several articles exploring advanced topics such as nonparametric prediction distribution and variable screening techniques.

Articles (9)

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Year:

2021

Collaborators (1)

Xinyi Li

Assistant Professor

Clemson University

UNITED STATES

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Kai Zhang

Research Interests

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About

Articles (9)

The Binary Expansion Randomized Ensemble Test

Variable screening based on Gaussian Centered L-moments

Extreme Value Theory for Binary Expansion Testing

PAIRWISE NONLINEAR DEPENDENCE ANALYSIS OF GENOMIC DATA.

AUGUST: An Interpretable, Resolution-based Two-sample Test

Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’

Nonparametric Prediction Distribution from Resolution-Wise Regression with Heterogeneous Data

Comments on “A Gibbs Sampler for a Class of Random Convex Polytopes”

Penalized linear regression with high-dimensional pairwise screening

Collaborators (1)

Xinyi Li

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