Junyong Park

发表

Some Aspects of Multivariate Behrens-Fisher Problem

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

False Discovery Rate Based on Extreme Values in High Dimension

Junyong Park, J. Davis, DoHwan Park, 2016 .

Guided random walk through some high dimensional problems

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

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.

Sequestration-Mediated Downregulation of de Novo Purine Biosynthesis by AMPK.

S. An, Junyong Park, Danielle L. Schmitt, 2016, ACS chemical biology.

A test for the k sample Behrens–Fisher problem in high dimensional data

Daojiang He, Junyong Park, M. Cao, 2017, Journal of Statistical Planning and Inference.

A test for the k sample Behrens–Fisher problem in high dimensional data

Daojiang He, Junyong Park, M. Cao, 2017, Journal of Statistical Planning and Inference.

Plug‐in tests for nonequivalence of means of independent normal populations

Junyong Park, Sungwoo Choi, 2014, Biometrical journal. Biometrische Zeitschrift.

Adjusting for Confounders in Cross-correlation Analysis: an Application to Resting State Networks

A. Roy, R. Gullapalli, Junyong Park, 2017, Sankhya B.

Testing the homogeneity of risk differences with sparse count data

Junyong Park, I. I. Gauran, 2018, Statistics.

Testing homogeneity of proportions from sparse binomial data with a large number of groups

Junyong Park, 2017, 1712.03317.

lsirm12pl: An R package for latent space item response modeling

M. Jeon, Junyong Park, Ick Jin, 2022, 2205.06989.

Cervical cancer screening and acute care visits among Medicaid enrollees with mental and substance use disorders.

D. Kelly, S. Feldman, M. Abrams, 2012, Psychiatric services.

Chemometric Methods to Quantify 1D and 2D NMR Spectral Differences Among Similar Protein Therapeutics

Kang Chen, D. Keire, Junyong Park, 2017, AAPS PharmSciTech.

Kang Chen, D. Keire, Junyong Park, 2020, Journal of pharmaceutical sciences.

A computationally efficient approach to estimating species richness and rarefaction curve

Junyong Park, Seungchul Baek, 2022, Computational Statistics.

Selection of Binary Variables and Classification by Boosting

Junyong Park, Jayanta K. Ghosh, Jayson D. Wilbur, 2007, Commun. Stat. Simul. Comput..

Testing homogeneity of several normal population means based on an interval hypothesis

Junyong Park, Andrei Draganescu, 2019, Commun. Stat. Simul. Comput..

Testing the equality of a large number of normal population means

Junyong Park, DoHwan Park, Junyong Park, 2012, Comput. Stat. Data Anal..

Bootstrap Procedures for Testing Homogeneity Hypotheses

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

Independent rule in classification of multivariate binary data

Junyong Park, Junyong Park, 2009, J. Multivar. Anal..

Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples

Junyong Park, Maricel G. Kann, Thomas A. Peterson, 2017, PLoS Comput. Biol..

Estimation of empirical null using a mixture of normals and its use in local false discovery rate

Junyong Park, Michel Sadelain, DoHwan Park, 2011, Comput. Stat. Data Anal..

High‐dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances

Junyong Park, Hoyoung Park, Seungchul Baek, 2021, Stat. Anal. Data Min..

Stein's method in high dimensional classification and applications

Junyong Park, DoHwan Park, Junyong Park, 2015, Comput. Stat. Data Anal..

Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification

Junyong Park, Eitan Greenshtein, E. Greenshtein, 2009, J. Mach. Learn. Res..

Association between hemoglobin variability and incidence of hypertension over 40 years: a Korean national cohort study

Sung Yang, Junyong Park, M. Son, 2020, Scientific Reports.

Ghrelin in Alzheimer’s disease: Pathologic roles and therapeutic implications

Eun Ji Song, Junyong Park, M. Moon, 2019, Ageing Research Reviews.

A computationally efficient approach to estimating species richness and rarefaction curve

Junyong Park, Seungchul Baek, 2022, Comput. Stat..

Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation

Junyong Park, Junyong Park, 2018, Comput. Stat. Data Anal..

Traditional Oriental Medicines and Alzheimer’s Disease

Eun Ji Song, Junyong Park, M. Moon, 2019, Aging and disease.

Estimating the Mean of High Valued Observations in High Dimensions

Y. Ritov, E. Greenshtein, Junyong Park, 2008 .

Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains

Thomas A. Peterson, M. Kann, Junyong Park, 2022, The Annals of Applied Statistics.

Adaptive local false discovery rate procedures for highly spiky data and their application RNA sequencing data of yeast SET4 deletion mutants

Junyong Park, Johan Lim, DoHwan Park, 2021, Biometrical journal. Biometrische Zeitschrift.

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

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

Horseshoe and Strawderman-Berger Estimators for Non-negative Normal Means

A. Roy, Junyong Park, N. Agarwala, 2020 .

Poisson mean vector estimation with nonparametric maximum likelihood estimation and application to protein domain data

Junyong Park, Hoyoung Park, 2022, Electronic Journal of Statistics.

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.

Nonparametric empirical Bayes estimator in simultaneous estimation of Poisson means with application to mass spectrometry data

Junyong Park, 2012 .

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

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

The effect of adequate alcohol intake on the efficiency of second language learning

Junyong Park, M. Moon, S. Jeon, 2017 .

A Spectral Measure for the Information Loss of Temporal Aggregation

Bu Hyoung Lee, Junyong Park, 2020, Journal of Statistical Theory and Practice.

Tolerance intervals from ridge regression in the presence of multicollinearity and high dimension

Junyong Park, 2017 .

Estimating and testing conditional sums of means in high dimensional multivariate binary data

Junyong Park, J. Davis, 2011 .

Nonparametric additive model with grouped lasso and maximizing area under the ROC curve

Junyong Park, Sungwoo Choi, Junyong Park, 2014, Comput. Stat. Data Anal..

Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage

Junyong Park, Young-Geun Choi, Anindya Roy, 2016, J. Multivar. Anal..

A computationally efficient approach to estimating species richness and rarefaction curve

Junyong Park, Seungchul Baek, 2022, Computational Statistics.

Two-sample tests for sparse high-dimensional binary data

Junyong Park, Amanda Plunkett, 2017 .

The generalized P-value in one-sided testing in two sample multivariate normal populations

Junyong Park, 2010 .

A Spectral Measure for the Information Loss of Temporal Aggregation

Bu Hyoung Lee, Junyong Park, 2020, Journal of Statistical Theory and Practice.

High-dimensional linear discriminant analysis using nonparametric methods

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

Note on Mean Vector Testing for High-Dimensional Dependent Observations

Junyong Park, Anindya Roy, Deepak Nag Ayyala, 2019, 1904.09344.

Two-sample test for sparse high-dimensional multinomial distributions

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

Mean vector testing for high-dimensional dependent observations

A. Roy, Junyong Park, D. Ayyala, 2014, J. Multivar. Anal..