Joon Jin Song, Ph.D
Associate Professor of Statistical Science
Ph.D., Statistics, Texas A&M University, 2004
M.S., Statistics, Kyungpook National University, Korea, 1999
B.S., Yeungnam University, Korea, 1997
Major area of research
Spatial Statistics, Functional Data Analysis, Bioinformatics
Courses currently teaching
• 3381 Probability and Statistics
• 5377 Spatial Statistics
• 5362 Time Series Analysis
Song, J.J. and Kim, J.-M. (2016). Bayesian Estimation of Rare Sensitive Attribute. Comminication in Statistics - Simulation and Computation, To appear.
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.