Sayan Mukherjee

Professor of Statistical Science

External address: 
112 Old Chemistry Building, 90251, Durham, NC 27708
Internal office address: 
Duke Box 90251, Durham, NC 27710
(919) 684-4608

Huang, B, Jarrett, NWD, Babu, S, Mukherjee, S, and Yang, J. "Cümülön: MatrixBased data analytics in the cloud with spot instances." Proceedings of the VLDB Endowment. January 1, 2016. 156-167.

Bobrowski, O, Mukherjee, S, and Taylor, JE. "Topological consistency via kernel estimation." Bernoulli 23.1 (February 2017): 288-328. Full Text

Snyder-Mackler, N, Majoros, WH, Yuan, ML, Shaver, AO, Gordon, JB, Kopp, GH, Schlebusch, SA, Wall, JD, Alberts, SC, Mukherjee, S, Zhou, X, and Tung, J. "Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples." Genetics 203.2 (June 2016): 699-714. Full Text

Zhao, S, Gao, C, Mukherjee, S, and Engelhardt, BE. "Bayesian group factor analysis with structured sparsity." Journal of Machine Learning Research 17 (April 1, 2016): 1-47.

Galinsky, KJ, Bhatia, G, Loh, P-R, Georgiev, S, Mukherjee, S, Patterson, NJ, and Price, AL. "Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia." American journal of human genetics 98.3 (March 2016): 456-472. Full Text

Stewart, L, MacLean, EL, Ivy, D, Woods, V, Cohen, E, Rodriguez, K, McIntyre, M, Mukherjee, S, Call, J, Kaminski, J, Miklósi, Á, Wrangham, RW, and Hare, B. "Citizen Science as a New Tool in Dog Cognition Research." PloS one 10.9 (January 2015): e0135176-. Full Text Open Access Copy

Peshkin, L, and Mukherjee, S. "Bounds on sample size for policy evaluation in Markov environments." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2111 (January 1, 2001): 616-629.

Munch, E, Turner, K, Bendich, P, Mukherjee, S, Mattingly, J, and Harer, J. "Probabilistic Fréchet Means for Time Varying Persistence Diagrams." Full Text Open Access Copy

McGoff, K, Mukherjee, S, and Pillai, NS. "Statistical inference for dynamical systems: a review."

Raskutti, G, and Mukherjee, S. "The information geometry of mirror descent." January 1, 2015. Full Text

Mukherjee, N, and Mukherjee, S. "Predicting signal peptides with support vector machines." January 1, 2002. Full Text

Pontil, M, Mukherjee, S, and Girosi, F. "On the noise model of support vector machines regression." January 1, 2000.