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Jeremy Gaskins, PhD

Jeremy Gaskins imageBioinformatics and Biostatistics
Associate Professor
485 E. Gray St., Room 130
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.

Research Interests

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


Journal Articles:
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.

Book Chapters:
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

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