Joon Jin Song, Ph.D.

Associate Professor of Statistical Science
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Associate Professor of Statistical Science

Education

  • Ph.D., Statistics, Texas A&M University, 2004
  • M.S., Statistics, Kyungpook National University, Korea, 1999
  • B.S., Yeungnam University, Korea, 1997Ph.D., Statistics, Texas A&M University, 1994

Selected Publications

Waken, R. J., Song, J. J., Kwon, S., Min, K. -H., and Lee, G. W. (2017). A Flexible and eddicient spatial interpolator for radar rainfall estimation. Journal of Applied Statistics, To appear. 

Chin, Y.-M., Song, J. J., and Stamey, J. (2017). A Bayesian approach to misclassified binary response: Female employment and intimate partner violence in India. Applied Economics Letters, To appear.

Song, J.J. and Kim, J.-M. (2017). Bayesian Estimation of Rare Sensitive Attribute. Communication in Statistics - Simulation and Computation, To appear.

Taube, J., Sphyris, N., Nesbit, T., Joseph, R. Vijay, G. Sarkar, T. R., Bhangre, N., Song, J. J., Chang, J., Lee, M. G., and Soundararajan, R. (2016). The H3K27me3-demethylase KDM6A is suppressed in breast cancer stem-like cells, and enables the resolution of bivalency during the mesenchymal-epithelial transition, Oncotarget, To appear.

Andre, T. L., Gann, J. J., McKinley-Barnard, S. K., Song, J. J., and Willoughby, D. S. (2016). Eight Weeks of Phosphatidic Acid Supplementation in Conjunction with Resistence Training Does Not Differentially Affect Body Composition and Muscle Strength in Resistence-Trained Men. Journal of Sports Science and Medicine, 15, 532-539.

Faucher, M., Hastings-Tolsma, M., Song, J.J., Willoughby, D.S., and Bader, S.G. (2016). Gestational weight gain and preterm birth in obese women: A systematic review and meta-analysis. BJOG: An International Journal of Obstetrics & Gynaecology, 123, 199-206.

Zachariah, J., McNeal, C.J., Copeland, L.A., Fang-Hollingsworth, Y., Stock, E.M., Sun, F., Song, J.J., Gregory, S.T., Tom, J.O., Wright, E.A., VanWormer, J.J., Cassidy-Bushrow, A.E. (2015). Temporal Trends in Lipid Screening and Therapy Among Youth from 2002 to 2012. Journal of Clinical Lipidology, 9, S77-S87.

Song, J.J., Kwon, S., and Lee, G. (2015). Incorporation of parameter uncertainty into spatial interpolation usinf Bayesian Trans-Gaussian Kriging. Advances in Atmospheric Sciences 32, 413-423.

Matlock, K.L., Song, J.J., and Goering, C.Z. (2014) Spatial dependency and contextual effects on academic achievement. International Journal of Educational Administration and Policy Studies 6, 32-42.

Kang, S. and Song, J.J. (2014). Spatial structure of soil microbial communities and the evaluation of the spatial structure analysis based on relative dissimilarity. International Journal of Ecology and Environmental Sciences 40, 1-14.

Song, J.J. and Zhang, J. (2014). Enhanced classification for high-throughput data with an optimal projection and hybrid classifier. International Journal of Data Mining and Bioinformatics 9, 106-120.

Song, J. J. and Kim, J.-M. (2012). Bayesian analysis of randomized response sum score variables. Communications in Statistics: Theory and Methods 41, 1875-1884.

Song, J. J. and De Oliveira, V. (2012). Bayesian model selection in spatial lattice models. Statistical Methodology 9, 228-238.

Anbarci, N., Boyd, J., Floehr, E., Lee, J., and Song, J. J. (2011). Population and income sensitivity of private and public weather forecasting. Regional Science and Urban Economics 41, 124-133.

Lee, K., Joo, Y., Song, J. J., and Harper, D. W. (2011). Analysis of zero-inflated clustered count data: A marginalized model approach. Computational Statistics and Data Analysis 55, 824-837.

Song, J. J., Ren, Y., and Yan, F. (2009). Classification for high-throughput data with an optimal subset of principal components. Computational Biology and Chemistry 33, 408-413.

De Oliveira, V. and Song, J. J. (2008). Bayesian analysis of simultaneous autoregressive models. Sankhya B 70-B, 323-350.

Song, J. J., Deng, W., Lee, H.-J., and Kwon, D. (2008). Optimal classification for time-course microarray data using functional data analysis. Computational Biology and Chemistry 32, 426-432.

Song, J. J., Ghosh, M., Miaou, S.-P., and Mallick, B. (2006). Bayesian multivariate spatial models for roadway traffic crash mapping. Journal of Multivariate Analysis 97, 246-273.