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title Publications

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Methodological Research

  • 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. Link

  • 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. Link

  • Chakraborty, S. and Khare, K. (2019). Consistent estimation of the spectrum of trace class data augmentation algorithms. Bernoulli. 25(4B), 2019, 3832–3863. arXiv. Link.

  • Chakraborty, S., Arora A., Begg, C. B. and Shen, R. (2019). Estimating Somatic Variant Richness in the Cancer Genome: Mining the Hidden Iceberg of Information. To appear in Nature Communications.

  • Chakraborty, S. and Su, Z. (2019+). A comprehensive Bayesian framework for envelope models. Under review.

  • Chakraborty, S. and Wong, S. W. (2019+). Bayesian analysis of coupled cellular and nuclear trajectories for cell migration. Under review.

  • Chakraborty, S., Begg, C. B., and Shen, R. (2019+). Using the “Hidden” Genome to Improve Classification of Cancer Types. Submitted.

  • Lee, M., Chakraborty, S., and Su, Z. (2019+). A Bayesian approach to envelope quantile regression. Manuscript in preparation.

  • Chakraborty, S., Bhattacharya, B., and Khare, K. (2019+). Estimating accuracy of MCMC standard error: a central limit theorem for batch means estimator. Manuscript in preparation.

  • Chakraborty, S. and Wong, S. W. On the circular correlation coefficients for bivariate von Mises distributions on a torus. arXiv.

Computational Research

  • Chakraborty, S. and Wong, S. W. BAMBI: An R package for Fitting Bivariate Angular Mixture Models. In revision. arXiv.

Collaborative Applied Research

  • Vaziri, S., Wilson, J., Abbatematteo, J., Kubilis, P., Chakraborty, S., Kshitij, K., and Hoh, D. J. (2017). Predictive performance of the American College of Surgeons universal risk calculator in neurosurgical patients. Journal of Neurosurgery, 1-6.
  • Chatterjee, N., Nair, P.K.R., Chakraborty, S., and Nair, V.D. (2018). Changes in soil carbon stocks across the Forest-Agroforest-Agriculture/Pasture continuum in various agroecological regions: A meta-analysis. Agriculture, Ecosystems and Environment, 266, 55-67.
  • 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.
  • 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.
  • Rooney, W. D., Berlow, Y. A., Triplett, W. T., Forbes, S. C., 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, 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.
  • 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.

Software

  • BAMBI: An R package for Bivariate Angular Mixture Models. Downloaded over 16,700 times.

  • variantprobs: An R package for estimating probabilities and expected numbers of mutations in the tumor genome.
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