Mikyoung Jun Department of Statistics Texas A&M University 3143 TAMU College Station, TX 77843-3143 Phone: (979) 845-3141 Email: mjun [at] stat [dot] tamu [dot] edu           smiky1008 [at] gmail [dot] com

Myself

I am an assistant professor of statistics at Texas A&M University.
For my CV, click here (last updated June 03, 2009).

Research

Research interest

Spatial (and Temporal) Statistics

Environmental Statistics

Numerical Model Evaluation

Compuational Methods for Large Data Sets

Likelihood Methods

Data Assimilation

Statistics in Climate application

Papers

Jun, M., Zhang, F., Bishop, C. H. (2008). Parametric and nonparametric statistical methods for covariance estimation. IAMCS preprint series 2008-021.

Jun, M., Stein, M.L., Nonstationary covariance models for global data. Annals of Applied Statistics, 2, pp. 1271-1289. PDF

Jun, M., Knutti, R., Nychka, D.W. (2008). Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There? Journal of the American Statistical Association, 103, pp. 934-947. PDF

Jun, M., Knutti, R., Nychka, D.W. (2008). Local eigenvalue analysis of CMIP3 climate model errors. Tellus, 60A, pp. 992-1000.

Jun, M., Stein, M.L. (2007). An approach to producing space-time covariance functions on spheres. Technometrics, Volume 49, No. 4, Oct 2007, pp. 468-479. PDF
PDF (Technical report version: Technical Report 18, CISES, the University of Chicago.)

Jun, M., Stein, M.L. (2004). Statistical Comparison of Observed and CMAQ Modeled Daily Sulfate Levels. Atmospheric Environment, Volume 38, Issue 27, pp. 4427-4436.
Supplementary material

Grants

NSF DMS-0906532, PI, Aug 2009-Jul 2012.

NSF ATM-0620624, co-PI, Sep 2006-Aug 2010.

Work-related Links

IAMCS supported by KAUST

Program in Spatial Statistics

CMG group webpage

JKSS (Journal of the Korean Statistical Society)

Teaching

STAT647 (Fall 2009)

Upcoming conferences

Data Assimilation in Geosciences, TAMU website

Personal

My precious 0-2 months 1st year B-day parties