Kyongwon Kim

Assistant Professor

Wake Forest University

United States

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About

Kyongwon Kim is an Assistant Professor at Wake Forest University in the United States. His research areas include sufficient dimension reduction, functional data analysis, and multivariate statistical methods. Recent publications highlight his work on topics such as predicting mental workload using physiological signals and the application of principal graphical models in gene networks.

Articles (7)

Year:

2024

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2023

Year:

2023

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2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (2)

Jun Song

Associate Professor

Korea University

SOUTH KOREA

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Eunsik Kim

Assistant Professor

University of Windsor

CANADA

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Kyongwon Kim

Research Interests

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About

Articles (7)

Predicting Driver's mental workload using physiological signals: A functional data analysis approach

On a nonlinear extension of the principal fitted component model

A note on sufficient dimension reduction with post dimension reduction statistical inference

Sparse multivariate functional principal component analysis

On cross-distance selection algorithm for hybrid sufficient dimension reduction

On principal graphical models with application to gene network

Development and evaluation of attachable anti-vibration handle

Collaborators (2)

Jun Song

Eunsik Kim

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