Position/Title: Professor, Joint Program in Survey
Department Affiliation: JPSM; Department of
- Bayes and
Empirical Bayes Inference
Curriculum Vitae (PDF)
PhD Year and University: Ph.D.
(Statistics) 1986 University of Florida, Gainesville
Honors: Elected Fellow, American Statistical
Association; Elected Fellow, Institute of Mathematical
Statistics; Elected member, International Statistical
Lahiri, P. and Rao,
J.N.K. (1995), Robust estimation of mean square error of
small area estimators, Journal of the American Statistical
Association, 90, 758-766.
Arora, V., Lahiri, P. and Mukherjee, K. (1997), Empirical
Bayes estimation of finite population means from complex
surveys, Journal of the American Statistical Association,
Gabler, S., Haeder, S., and Lahiri, P. (1999), A model-based
justification of Kish's formula for design effects for
weighting and clustering, Survey Methodology, 25, 105-106.
Lahiri, P. and Mukerjee, R. (2000), On a simplification of
the linear programming approach to controlled sampling,
Statistica Sinica, 10, 1171-1178.
Edited IMS Lecture Notes/Monograph on Model Selection,
Volume 38, 2001.
Jiang, J., Lahiri, P. and Wan, S. (2002), Jackknifing the
mean squared error of empirical best predictor, Annals of
Statistics, 30, 1782-1810.
Lahiri, P. (2003), On the impact of bootstrap in survey
sampling and small-area estimation, Statistical Science, 18,
Lahiri, P. and Larsen, M. (2005), Regression analysis with
linked data, Journal of the American Statistical
Association, 100, 222-230.
Jiang, J., and Lahiri, P. (2006), Estimation of Finite
Population Domain Means - A Model-Assisted Empirical Best
Prediction Approach, Journal of the American Statistical
Association, 101, 301-311.
Jiang, J., and Lahiri, P. (2006), Mixed model prediction and
small area estimation, Editor's invited discussion paper,
Test, Vol. 15, 1, 1-96.