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Surya T. Tokdar, Ph.D. - Publications

Affiliations: 
2006 Purdue University, West Lafayette, IN, United States 
 2009- Statistical Science Duke University, Durham, NC 
Area:
Statistics
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Schmehl MN, Caruso VC, Chen Y, Jun NY, Willett SM, Mohl JT, Ruff DA, Cohen M, Ebihara AF, Freiwald WA, Tokdar ST, Groh JM. Multiple objects evoke fluctuating responses in several regions of the visual pathway. Elife. 13. PMID 38489224 DOI: 10.7554/eLife.91129  0.718
2023 Schmehl MN, Caruso VC, Chen Y, Jun NY, Willett SM, Mohl JT, Ruff DA, Cohen M, Ebihara AF, Freiwald W, Tokdar ST, Groh JM. Multiple objects evoke fluctuating responses in several regions of the visual pathway. Biorxiv : the Preprint Server For Biology. PMID 37502939 DOI: 10.1101/2023.07.19.549668  0.719
2022 Jun NY, Ruff DA, Kramer LE, Bowes B, Tokdar ST, Cohen MR, Groh JM. Coordinated multiplexing of information about separate objects in visual cortex. Elife. 11. PMID 36444983 DOI: 10.7554/eLife.76452  0.32
2021 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. 15: 41-63. PMID 34413921 DOI: 10.1214/20-AOAS1383  0.724
2020 Mohl JT, Caruso VC, Tokdar ST, Groh JM. Sensitivity and specificity of a Bayesian single trial analysis for time varying neural signals. Neurons, Behavior, Data Analysis and Theory. 3. PMID 34505116  0.303
2019 Glynn C, Tokdar ST, Howard B, Banks DL. Bayesian Analysis of Dynamic Linear Topic Models Bayesian Analysis. 14: 53-80. DOI: 10.1214/18-Ba1100  0.672
2018 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. 9: 2715. PMID 30006598 DOI: 10.1038/S41467-018-05121-8  0.711
2018 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. 8: 116. PMID 29311675 DOI: 10.1038/S41598-017-18565-7  0.358
2017 Klemish D, Ramger B, Vittetoe K, Reiter JP, Tokdar ST, Appelbaum LG. Visual abilities distinguish pitchers from hitters in professional baseball. Journal of Sports Sciences. 1-9. PMID 28282749 DOI: 10.1080/02640414.2017.1288296  0.357
2017 Yang Y, Tokdar ST. Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces Journal of the American Statistical Association. 112: 1107-1120. DOI: 10.1080/01621459.2016.1192545  0.372
2016 Montagna S, Tokdar ST. Computer Emulation with Nonstationary Gaussian Processes Siam/Asa Journal On Uncertainty Quantification. 4: 26-47. DOI: 10.1137/141001512  0.673
2013 Pati D, Dunson DB, Tokdar ST. Posterior consistency in conditional distribution estimation. Journal of Multivariate Analysis. 116: 456-472. PMID 25067858 DOI: 10.1016/J.Jmva.2013.01.011  0.351
2013 Banerjee A, Dunson DB, Tokdar ST. Efficient Gaussian process regression for large datasets. Biometrika. 100: 75-89. PMID 23869109 DOI: 10.1093/Biomet/Ass068  0.365
2013 Shen W, Tokdar ST, Ghosal S. Adaptive Bayesian multivariate density estimation with Dirichlet mixtures Biometrika. 100: 623-640. DOI: 10.1093/Biomet/Ast015  0.324
2012 Montagna S, Tokdar ST, Neelon B, Dunson DB. Bayesian latent factor regression for functional and longitudinal data. Biometrics. 68: 1064-73. PMID 23005895 DOI: 10.1111/J.1541-0420.2012.01788.X  0.674
2012 Martin R, Tokdar ST. A nonparametric empirical Bayes framework for large-scale multiple testing. Biostatistics (Oxford, England). 13: 427-39. PMID 22085895 DOI: 10.1093/Biostatistics/Kxr039  0.374
2012 Tokdar ST, Kadane JB. Simultaneous Linear Quantile Regression: A Semiparametric Bayesian Approach Bayesian Analysis. 7: 51-72. DOI: 10.1214/12-Ba702  0.392
2011 Martin R, Tokdar ST. Semiparametric inference in mixture models with predictive recursion marginal likelihood Biometrika. 98: 567-582. DOI: 10.1093/Biomet/Asr030  0.365
2010 Tokdar S, Xi P, Kelly RC, Kass RE. Detection of bursts in extracellular spike trains using hidden semi-Markov point process models. Journal of Computational Neuroscience. 29: 203-12. PMID 19697116 DOI: 10.1007/S10827-009-0182-2  0.334
2010 Tokdar ST, Zhu YM, Ghosh JK. Bayesian density regression with logistic Gaussian process and subspace projection Bayesian Analysis. 5: 319-344. DOI: 10.1214/10-Ba605  0.537
2009 Martin R, Tokdar ST. Asymptotic properties of predictive recursion: Robustness and rate of convergence Electronic Journal of Statistics. 3: 1455-1472. DOI: 10.1214/09-Ejs458  0.353
2009 Tokdar ST, Ryan M, Ghosh JK. Consistency of a recursive estimate of mixingdistributions Annals of Statistics. 37: 2502-2522. DOI: 10.1214/08-Aos639  0.531
2007 Tokdar ST. Towards a Faster Implementation of Density Estimation With Logistic Gaussian Process Priors Journal of Computational and Graphical Statistics. 16: 633-655. DOI: 10.1198/106186007X210206  0.359
2007 Tokdar ST, Ghosh JK. Posterior consistency of logistic Gaussian process priors in density estimation Journal of Statistical Planning and Inference. 137: 34-42. DOI: 10.1016/J.Jspi.2005.09.005  0.544
2007 Bogdan M, Ghosh JK, Ochman A, Tokdar ST. On the empirical bayes approach to the problem of multiple testing Quality and Reliability Engineering International. 23: 727-739. DOI: 10.1002/Qre.876  0.514
2006 Ghosh JK, Tokdar ST. Convergence and consistency of Newton’s algorithm for estimating mixing distribution Frontiers in Statistics: Dedicated to Peter John Bickel in Honor of His 65th Birthday. 429-443. DOI: 10.1142/9781860948886_0019  0.464
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