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Jeremy Gaskins, PhD
Address: 485 E. Gray St.
Louisville, KY 40202
Phone: (502) 852-3300
Fax: (502) 852-3294
Ph.D. (2013) Statistics, University of Florida
B.S. (2007) Mathematics and Applied Mathematics, Auburn University
I joined the Department of Bioinformatics & Biostatistics at UofL in the fall of 2013 at the rank of Assistant Professor.
My primary research interests include longitudinal data, missing data models, covariance/correlation estimation, Bayesian methodology, and Markov chain Monte Carlo methods. I also collaborate with the Department of OB/GYN and Women's Health, the Department of Radiation Oncology, and the Commonwealth Institute of Kentucky.
PHST 691 - Bayesian Statistics
PHUN 301 - Biostatistics Concepts and Methods for Public Health
Gaskins, J.T., and M.J. Daniels. (2013) A nonparametric prior for simultaneous covariance estimation. Biometrika, 100(1): 111-124.
Gaskins, J.T., and M.J. Daniels. (2014) Sparsity inducing prior distributions for correlation matrices of longitudinal data. Journal of Computational and Graphical Statistics. 23(4):966-984.
Gaskins, J.T., and M.H. Daniels. (2015) Covariance partition priors: A Bayesian approach to simultaneous covariance estimation for longitudinal data. Journal of Computational and Graphical Statistics. In press.
Daniels, M.J., and J.T. Gaskins. (2013) Bayesian methods for the analysis of mixed categorical and continuous (incomplete) data. In Analysis of Mixed Data: Methods and Applications (edited by A.R. de Leon and K. Carriere Chough). pg. 189-208. Chapman & Hall/CRC Press