Junyong Park

Assistant Professor

Department of Mathematics and Statistics, UMBC

Office : MP 407
E-mail : junpark@math.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


Manuscripts

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.

Regularization through variable selection and conditional MLE with application to classification in high dimensions(2006) with Greenshtein, E. and Lebanon, G. accepted in Journal of Statistical Planning and Inference

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

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

Estimating the mean of high valued observation in high dimensions (2007) with Greenshtein, E. and Ritov, Y. Submitted

Indepedent rule in classification of multivariate binary data (2008), Submitted

Some asymptotic results of nonparametric Empirical bayes estimator in simultaneous estimation of poisson mean (2008). Submitted

Application of Non Parametric Empirical Bayes estimation to High Dimensional Classification (2008) with Greenshtein, E. Submitted

Some aspects of multivariate Behrens-Fisher problem (2008) with Sinha, B. To be submitted

Estimating Mean of High Valued Observation in High Dimensional Sparse Mulivariate Binary Data and Its Application to Testing Hypothesis in FMRI Data (2008), to be submitted

Teaching

Fall 2006 STAT418/618 Applied Multivariate Analysis


Spring 2007 STAT490 Statistical Data Mining

Links

J.K. Ghosh

E. Greenshtein

G. Lebanon

J. Lim

T. Choi

Krazy Eights