Saptarshi Chakraborty
PhD
Research Interests
Statistical Computing, Bayesian modeling, Markov chain Monte Carlo, statistical modeling in cancer genomics and computational biology, data science, machine learning, big and high-dimensional data, dimension reduction, statistical analyses in biomedical research
Selected Publications
- Chakraborty S, Arora A, Begg C.B. and Shen R. (2019) Using Somatic Variant Richness to Mine Signals from Rare Variants in the Cancer Genome. Nature Communications 10, 5506 (2019).
- Chakraborty S. and Khare K. (2019). Consistent Estimation of the Spectrum of Trace Class Data Augmentation Algorithms. Bernoulli. 25(4B), 2019, 3832-3863.
- Chakraborty S, and Wong S.W. (2019). BAMBI: An R package for Fitting Bivariate Angular Mixture Models. To appear in the Journal of Statistical Software. arXiv.
- Vaziri S, Awan O, Porche K, Scott K, Sacks P, Dru A.B., Chakraborty S, Khare K, Hoh B and Rahman, M. (2019). Reimbursement Patterns for Neurosurgery: Analysis of the NERVES Survey Results from 2011-2016. Clinical Neurology and Neurosurgery, p.105406.
- Rooney W.D, Berlow Y.A., Triplett W.T, Forbes S, Willcocks R.J, Wang D, Arora H, Senesac C, Lott D.J, Finkel R, Russman B.S, Finanger E.L, Chakraborty S, O'Brien E, Moloney B, Moloney B, Barnard A, Sweeney H.L, Daniels M.J, Walter G.A, Vandenborne K. (2019). Modeling Disease Trajectory in Duchenne Muscular Dystrophy. To appear in Neurology.
- Barnard A.M, Wilcox R, Forbes S.C, Daniels M.J, Chakraborty S, Lott D.J, Senesac C.R, Arora H, Sweeny L, Walter G.H. and Vandenborne K.H.E. (2019). MR Biomarkers and Predictive Relationships to Clinical Function over 48 months in Duchenne Muscular Dystrophy. To appear in Neurology.
- Cassidy D.J, McKinley S.K, Chakraborty S, Mansur A, Hamdi I, Mullen J, Petrusa E, Phitayakorn R, Gee D. (2019+). Feasibility and Benefits of a Peer-Led-ABSITE Review Course. Submitted.
- Chatterjee N, Nair P.K.R, Chakraborty S and Nair VD (2018). Changes in Soil Carbon Stocks Across the Forest-Agrofest-Agriculture/Pasture Continuum in Various Agroecological Regions: A Meta-Analysis. Agriculture, Ecosystems and Environment, 266, 55-67.
- Chakraborty S and Khare K. (2017) Convergence Properties of Gibbs Samplers for Bayesian Probit Regression with Proper Priors, Electronic Journal of Statistics 11, 177-210.
- Maji A, Chakraborty S and Basu A. (2017). Statistical Inference based on the Logarithmic Power Divergence. Society for Application of Statistics and Allied Sciences, 2, 39-51.