Junyong Park

Assistant Professor

Department of Mathematics and Statistics, UMBC

Office : MP 407
E-mail : junpark@umbc.edu

We want to stand upon our own feet and look fair and square at the world-- its good facts, its bad facts, its beauties, and its ugliness;
see the world as it is and be not afraid of it. Conquer the world by intelligence and not merely by being slavishly subdued by the terror that comes from it.
-- Bertrand Russell

Education

Ph.D. Dept. of Statstics at Purdue University

M.S. Dept. of Computer Science and Statistics at Seoul National University in Korea

B.S. Dept. of Computer Science and Statistics at Seoul National University in Korea

Research Interest

High Dimensional Data Analysis

Model Selection and Variable Selection in High Dimensional Data

Robust Test in High Dimensional Data

Multiple Comparison

Machine Learning

Published papers

Persistence of the plug-in rule in classification of high dimensional multivariate binary data (2007) with Ghosh, J.K.. Journal of Statistical Planning and Inference, vol. 147, p.3687-3705.

Selection of binary variables and classification by boosting (2007) with Wilbur, J., Ghosh, J.K., Nakatsu, C. and Ackerman, Comm.Stat. vol. 36, p855-869.

Estimating the mean of high valued observation in high dimensions (2008) with Greenshtein, E. and Ritov, Y. Journal of Statistical Theory and Practice, Vol. 2, No.3, p.407-418

Regularization through variable selection and conditional MLE with application to classification in high dimensions (2009) with Greenshtein, E. and Lebanon, G. Journal of Statistical Planning and Inference, 139, p.385-395

Application of Non Parametric Empirical Bayes estimation to High Dimensional Classification (2009) with Greenshtein, E. Journal of Machine Learning Research, Vol.10, p1687-1704.

Indepedent rule in classification of multivariate binary data (2009), Journal of Multivariate Analysis, Vol.100, p2270-2286.

Some aspects of multivariate Behrens-Fisher problem (2009) with Sinha, B. To appear in Calcutta Statistical Association Bulletin

The Generalized P-value in one-sided testing in two sample multivariate normal populations (2010), Journal of Statistical Planning and Inference, 140, p.1044-1055

Submitted papers

Stein's method in High Dimensional Classification and Appliations (2009) with D.Park

Robust tests in signal detecting in high dimensional normal vector(2007) with Greenshtein, E.

Approximation to Markov Centrality in large scale network(2007) with Lim, J. and Lee, H.

Estimating Sums of Means of High Valued Observation in High Dimensional Sparse Mulivariate Binary Data and Its Application (2009) with W. Davis

A Guided Random Walk Through Some High Dimensional Problems (2009) with J.K. Ghosh

Working papers

A test for the mean vector in large dimension and small sample (2009) with D. Ayyala.

Selection of Genes by local false discovery rate with null distribution from normal mixture (2009) with D. Park and X. Wang.

Asymptotic properties of nonparametric empirical Bayes estimator in poisson mean vector estimation (2009)

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