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Subhadip Pal, PhD

subhadip Pal ImageBioinformatics and Biostatistics 
Assistant Professor 
Room No. Rm 136, 485 E. Gray St.
Louisville, KY 40202
Phone: 502-852-6376
Fax: 502-852-3294 
Office Hours: 9 am--5 pm

CURRICULUM VITAE

Background

I am currently an Assistant Professor at the Department of Bioinformatics and Biostatistics at the University of Louisville.  I completed my Ph.D. in Statistics at the University of Florida, under the direction of Dr. Kshitij Khare. I received a Bachelors and Masters degree from Indian Statistical Institute, Kolkata.

Research Interests

 

My research is broadly focused on developing Bayesian methodologies for various statistical models. One of the research areas I am currently working on is to develop the Bayesian methodology for the Envelope regression in the context of the high dimensional multi-response linear model. One of the other major areas of research I have conducted is analyzing convergence rates of Markov Chain Monte Carlo (MCMC) algorithms and design efficient MCMC algorithms with improved convergence rates.  

Currently, I am developing Bayesian methods for high dimensional neuroimaging data such as Diffusion tensor imaging. I am also pursuing research in Bayesian nonparametric models where the observations are from non-euclidean manifolds such as Stiefel.

Current Projects

(i) A Bayesian Mixture Model for Clustering on the Stiefel Manifold

 

Awards & Honors

Recipient of the Kenneth and Janet Keene Endowed Dissertation Fellowship award in the Mathematical Sciences, College of Liberal Arts and Science, University of Florida.

Publications

Submitted Articles

Pal, S., Wu, B., Kang. J and Guo, Y. "Distributional Independent Component Analysis for Diverse Neuroimaging Modalities", submitted.

Pal, S., Sengupta, S., Mitra, R., Banerjee, A. "A Bayesian Framework for Modeling Data on the Stiefel Manifold", submitted.


Accepted Articles

Khare, K., Pal, S. and Su, Z., “A Bayesian approach for Envelope models", 2017, Annals of Statistics, Volume 45, Number 1, 196-222.

Pal, S., Kshitij K. and Hobert, J.P., “A trace class Gibbs sampler for Bayesian inference with generalized double Pareto shrinkage priors”, 2017, Scandinavian Journal of Statistics, Volume 44, Issue 2, Pages 307–323.

Pal, S., Khare, K. and Hobert, J.P., “Improving the data augmentation algorithm in the two-block setup”, 2015, Journal of Computational and Graphical Statistics, Volume 24, Issue 4, 2015.

Pal, S. and Khare, K., “Geometric ergodicity for Bayesian shrinkage models”, 2014, Electronic Journal of Statistics 8, 604-645.

Mukherjee, A., Williams, D.A., Wheeler, G.S., Cuda, J.P., Pal, S. and Overholt, W. A., Brazilian Peppertree (Schinus terebinthifolius) in Florida and South America: evidence of a possible niche shift driven by hybridization, 2012, Biological Invasions, Volume 14, Issue 7, pp 1415-1430.

 


 

Courses Materials

Course Notes for PHST 781 ( Advanced Linear models)  is available here at  link1, link2.

Other materials for the course PHST 781 ( Advanced Linear models)  are available here at link1, link2.

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