Surya T. Tokdar, Ph.D.

2006 Purdue University, West Lafayette, IN, United States 
 2009- Statistical Science Duke University, Durham, NC 
"Surya Tokdar"


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Jayanta K. Ghosh grad student 2006 Purdue
 (Exploring Dirichlet mixture and logistic Gaussian process priors in density estimation, regression and sufficient dimension reduction.)


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Chris Glynn grad student 2012- Duke
Silvia Montagna grad student 2013 Duke
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Glynn C, Tokdar ST, Zaman A, et al. (2021) ANALYZING SECOND ORDER STOCHASTICITY OF NEURAL SPIKING UNDER STIMULI-BUNDLE EXPOSURE. The Annals of Applied Statistics. 15: 41-63
Caruso VC, Mohl JT, Glynn C, et al. (2018) Single neurons may encode simultaneous stimuli by switching between activity patterns. Nature Communications. 9: 2715
Burris K, Vittetoe K, Ramger B, et al. (2018) Sensorimotor abilities predict on-field performance in professional baseball. Scientific Reports. 8: 116
Klemish D, Ramger B, Vittetoe K, et al. (2017) Visual abilities distinguish pitchers from hitters in professional baseball. Journal of Sports Sciences. 1-9
Pati D, Dunson DB, Tokdar ST. (2013) Posterior consistency in conditional distribution estimation. Journal of Multivariate Analysis. 116: 456-472
Banerjee A, Dunson DB, Tokdar ST. (2013) Efficient Gaussian process regression for large datasets. Biometrika. 100: 75-89
Shen W, Tokdar ST, Ghosal S. (2013) Adaptive Bayesian multivariate density estimation with Dirichlet mixtures Biometrika. 100: 623-640
Montagna S, Tokdar ST, Neelon B, et al. (2012) Bayesian latent factor regression for functional and longitudinal data. Biometrics. 68: 1064-73
Martin R, Tokdar ST. (2012) A nonparametric empirical Bayes framework for large-scale multiple testing. Biostatistics (Oxford, England). 13: 427-39
Bisi A, Dada M, Tokdar S. (2011) A Censored-Data Multiperiod Inventory Problem with Newsvendor Demand Distributions Manufacturing & Service Operations Management. 13: 525-533
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