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Research

Our Researchers

Our researchers produce innovations that keep our economic and social statistics efficient and relevant. Census researchers engage in challenging and rewarding work in a wide variety of fields. Researchers present their findings in working papers, publications, and reports, and in contributions at professional meetings.


 
Tapan Nayak 
Principal Researcher 
Center for Statistical Research and Methodology 

Contact Information

  • 301-763-5191  
  • tapan.nayak@census.gov  

Fields of Interest

  • Statistical Theory and Methodology in Diversity Analysis  
  • Inference and Prediction  
  • Pitman Measures of Closeness  
  • Reliability, Sampling, and Disclosure Avoidance  

Education

  • Ph.D., Statistics, Dissertation entitled: "Applications of Entropy Functions in Measurement and Analysis of Diversity", University of Pittsburgh, 1983  
  • M.STAT, Statistics, Indian Statistical Institute, Calcutta, India , 1979  
  • B.Sc., Statistics, University of Calcutta, Calcutta, India, 1976  

Professional Experience

  • Principal Researcher, Research Mathematical Statistician, U.S. Census Bureau, 2008-Present  
  • Professor and Chairman (2001-2007; 2016-), Department of Statistics, George Washington University, 1983-Present  
  • ASA/USDA-NASS Senior Research Fellow, National Agricultural Statistics Service, Research Division, 1997-1998  
  • Visiting Scientist, Division of Theoretical Statistics and Mathematics, Indian Statistical Institute, 1990  
  • Lecturer, R.K.M.R. College, Narendrapur, India, 1979-1980  

Professional Associations

  • Fellow, American Statistical Association, 2006
  • Elected Member, International Statistical Institute, 1996

Selected Publications

  • Chai, J. and Tapan Nayak. 2018. "A Criterion for Privacy Protection in Data Collection and Its Attainment via Randomized Response Procedures." Electronic Journal of Statistics, 12, 4264-4287.
  • Nayak, Tapan, C. Zhang, and Jiashen You. 2018. "Measuring Identification Risk in Microdata Release and Its Control by Post-randomization." International Statistical Review, 86(2), 300-321.
  • Nayak, Tapan, S.A. Adeshiyan, and C. Zhang. 2016. "A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality Protection." In Handbook of Statistics, Vol. 34: Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits, ed. A. Chaudhuri, T.C. Christofides, and C.R. Rao, New York: Elsevier, 273-286.
  • Nayak, Tapan and S.A. Adeshiyan. 2016. "On Invariant Post-randomization for Statistical Disclosure Control." International Statistical Review, 84, 26-42.
  • Nayak, Tapan, C. Zhang, and S.A. Adeshiyan. 2015. "Emerging Applications of Randomized Response Concepts and Some Related Issues." Model Assisted Statistics and Applications, 10, 335-344.
  • Zhou, H. and Tapan Nayak. 2015. "On the Equivariance Criterion in Statistical Prediction." Annals of the Institute of Statistical Mathematics, 67, 541-555.
  • Nayak, Tapan and B. Sinha. 2015. "An Appreciation of Balanced Loss Functions via Regret Loss." Commun. Statist.-Theory Meth., 44, 607-616.
  • Lai, Y., F. Zhang, Tapan Nayak, R. Modarres, N.H. Lee, and T.A. McCaffrey. 2014. "Condordant Integrative Gene Set Enrichment Analysis of Multiple Large-scale Two-sample Expression Data Sets." BMC Genomics, 15 (Suppl. 1), S6, doi: 10.1186/1471-2164-15-S1-S6.
  • Zhou, H. and Tapan Nayak. 2014. "A Note on Existence and Construction of Invariant Loss Functions." Statistics, 48, 1335-1343.
  • Zhou, H. and Tapan Nayak. 2012. "Pitman Closet Equivariant Estimators and Predictors under Location-Scale Models." Journal of Statistical Planning and Inference, 142, 1367-1377.
  • Nayak, Tapan and B. Sinha. 2012. "Some Aspects of Minimum Variance Unbiased Estimation in Presence of Ancillary Statistics." Statistics & Probability Letters, 82, 1129-1135.
  • Dewanji, A., S. Kundu, and Tapan Nayak. 2012. "Nonparametric Estimation of the Number of Components of a Superposition of Renewal Processes." Journal of Statistical Planning and Inference, 142, 2710-2718.
  • Nayak, Tapan, Bimal Sinha, and Laura Zayatz. 2011. "Statistical Properties of Multiplicative Noise Masking for Confidentiality Protection." Journal of Official Statistics, 27, 527-544.
  • Sinha, B., Tapan Nayak, and L. Zayatz. 2011. "Privacy Protection and Quantile Estimation from Noise Multiplied Data." Sankhya, Ser. B, 73, 297-315.
  • Nayak, Tapan and M. Qin. 2010. "The Concept of Risk Unbiasedness in Statistical Prediction." Journal of Statistical Planning and Inference, 140, 1923-1938.
  • Nayak, Tapan and S.A. Adeshiyan. 2009. "A Unified Framework for Analysis and Comparison of Randomized Response Surveys of Binary Characteristics." Journal of Statistical Planning and Inference, 139, 2757-2766.
  • Nayak, Tapan. 2009. "Impact of Karl Pearson's Work on Statistical Developments in India." International Statistical Review, 77, 72-80.
  • Nayak, Tapan. 2008. "Reflections on Data Perturbation and Post-randomization for Statistical Disclosure Control." Journal of Statistics and Applications, 3, 303-313.
  • Kundu, S., Tapan Nayak, and S. Bose. 2008. "Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation?" In Statistical Models and Methods for Biomedical and Technical Systems, ed. F. Vonta, M.S. Nikulin, N. Limnios and C. Huber-Carol. Boston: Birkhauser, 137-152.
  • Nayak, Tapan, S. Bose, and S. Kundu. 2008. "On Inconsistency of Estimators of Parameters of Nonhomogeneous Poisson Process Models for Software Reliability." Statistics & Probability Letters, 78, 2217-2221.
  • Qin, M. and Tapan Nayak. 2008. "Kshirsagar-Type Lower Bounds for Mean Squared Error of Prediction." Commun. Statist.-Theory Meth., 37, 861-872.
  • Nayak, Tapan and S. Kundu. 2007. "Comparison of Stopping Rules in Sequential Estimation of the Number of Classes in a Population." Sequential Anlaysis, 26, 367-381.



Approved on: February 11, 2020
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