Duke Probability Theory and Applications
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Surya T. Tokdar, Associate Professor of Statistical Science and Faculty Network Member of Duke Institute for Brain Sciences

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Web Page:  http://www.stat.duke.edu/~st118/


Ph.D.Purdue University2006

Action Potentials • Algorithms • Animals • Bayes Theorem • Biometry • Computer Simulation • Data Interpretation, Statistical • Epidemiologic Methods • Longitudinal Studies • Markov Chains • Models, Neurological • Models, Statistical • Neurons • Regression Analysis • Retinal Ganglion Cells • Sensitivity and Specificity • Signal Processing, Computer-Assisted • Time Factors

Recent Publications   (More Publications)

  1. Glynn, C; Tokdar, ST; Zaman, A; Caruso, VC; Mohl, JT; Willett, SM; Groh, JM, Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure, The Annals of Applied Statistics, vol. 15 no. 1 (January, 2021), pp. 41-63 [doi]  [abs]
  2. Glynn, C; Tokdar, ST; Howard, B; Banks, DL, Bayesian analysis of dynamic linear topic models, Bayesian Analysis, vol. 14 no. 1 (January, 2019), pp. 53-80, Institute of Mathematical Statistics [1511.03947v1], [doi]  [abs]
  3. Cunningham, E; Tokdar, ST; Clark, JS, A vignette on model-based quantile regression: Analysing excess zero response, in Flexible Bayesian Regression Modelling (January, 2019), pp. 27-64, ISBN 9780128158630 [doi]  [abs]
  4. Caruso, VC; Mohl, JT; Glynn, C; Lee, J; Willett, SM; Zaman, A; Ebihara, AF; Estrada, R; Freiwald, WA; Tokdar, ST; Groh, JM, Single neurons may encode simultaneous stimuli by switching between activity patterns., Nature Communications, vol. 9 no. 1 (July, 2018), pp. 2715 [doi]  [abs]
  5. Burris, K; Vittetoe, K; Ramger, B; Suresh, S; Tokdar, ST; Reiter, JP; Appelbaum, LG, Sensorimotor abilities predict on-field performance in professional baseball., Scientific Reports, vol. 8 no. 1 (January, 2018), pp. 116 [doi]  [abs]