Junyong Park

发表

High-dimensional linear discriminant analysis using nonparametric methods

Hoyoung Park, Seungchul Baek, Junyong Park, 2021, J. Multivar. Anal..

A simultaneous test of mean vector and covariance matrix in high-dimensional settings

Peng Sun, Junyong Park, Mingxiang Cao, 2021 .

Efficient integration of aggregate data and individual participant data in one‐way mixed models

Anindya Roy, Junyong Park, Neha Agarwala, 2021, Statistics in medicine.

Bootstrap Procedures for Testing Homogeneity Hypotheses

Bimal K. Sinha, Arvind Shah, Jianxin Lin, 2012 .

Empirical null estimation using zero‐inflated discrete mixture distributions and its application to protein domain data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2018, Biometrics.

Guided random walk through some high dimensional problems

Jayanta K. Ghosh, Junyong Park, J. Ghosh, 2010 .

Two-sample test for sparse high-dimensional multinomial distributions

Junyong Park, Junyong Park, Amanda Plunkett, 2017, TEST.

Persistence of plug-in rule in classification of high dimensional multivariate binary data

Jayanta K. Ghosh, Junyong Park, 2007 .

Regularization through variable selection and conditional MLE with application to classification in high dimensions

Guy Lebanon, Eitan Greenshtein, Junyong Park, 2009 .

Empirical Null Estimation using Discrete Mixture Distributions and its Application to Protein Domain Data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2016, 1608.07204.

Some Aspects of Multivariate Behrens-Fisher Problem

Bimal K. Sinha, Junyong Park, B. Sinha, 2009 .

Robust test for detecting a signal in a high dimensional sparse normal vector

Eitan Greenshtein, Junyong Park, E. Greenshtein, 2012 .