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Jeremy Gaskins, PhD

 jtgask02 Bioinformatics and Biostatistics

Role: Faculty
Title: Assistant Professor
Office No: Rm 130
Address: 485 E. Gray St
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.


PHST 691 - Bayesian Statistics

Publications: Books
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

Publications: 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. (2013) Sparsity inducing prior distributions for correlation matrices of longitudinal data. Journal of Computational and Graphical Statistics. In press. (Accepted author version available online).

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