Dr. 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 February 2, 2012).

Research

Research interest

Spatial (and Temporal) Statistics

Environmental Statistics

Covariance models for processes on a sphere

Numerical Model Evaluation

Compuational Methods for Large Data Sets

Likelihood Methods

Data Assimilation

Statistics in Climate application

Papers

Jun, M., Hu, J., Johnson, V.E. (2011). Assessing fit in Bayesian models for spatial processes. IAMCS preprint series 2011-243.

Jun, M., Park, E.S. (2011). Multivariate receptor models for spatially correlated multi-pollutant data. IAMCS preprint series 2011-226.

Jun, M. (2011). Nonstationary cross-covariance models for multivariate processes on a globe. Scandinavian Journal of Statistics, Vol 38, pp. 726-747.

Jun, M., Genton, M.G. (2011+). A test for stationarity of spatio-temporal random fields on planar and spherical domains. IAMCS preprint series 2010-169. PDF
In press, Statistica Sinica.

Sang, H., Jun, M., Huang, J.Z. (2011+). Covariance approximation for large multivariate spatial datasets with an application to multiple climate model errors. IAMCS preprint series 2011-248. PDF
In press, Annals of Applied Statistics.

Vaughan, A., Jun, M., Park, C. (2011). Statistical inference and visualization in scape-space for spatially dependent images. IAMCS preprint series 2011-174.
In press, Journal of the Korean Statistical Society. Online version

Jun, M. (2011). Discussion of "An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach" by Finn Lindgren, Håvard Rue and Johan Lindström. Journal of the Royal Statistical Society, Series B, 73, 478.

Jun, M., Szunyogh, I., Genton, M.G., Zhang, F., Bishop, C.H. (2011). A statistical investigation of the sensitivity of ensemble based Kalman filters to covariance filtering. Monthly Weather Review, 139, pp. 3036-3051. PDF

Jun, M., Stein, M.L. (2008). 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. PDF

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. (2007). An approach to producing space-time covariance functions on spheres. Technometrics, Volume 49, No. 4, Oct 2007, pp. 468-479. PDF

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. PDF   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

No teaching this semester (Spring 2012)

Upcoming conferences

WNAR 2012 (June 17-20)

ISBA 2012

2nd IMS-APRM 2012

AISC 2012 (Oct 5-7)

Talk Slides

JSM 2010

Personal

My precious

0-2 months
1st year B-day parties
2nd year B-day party