• Survey Sampling
• Multi-level Modeling
• Small-Area Estimation
• Bayes and Empirical Bayes Inference
• Resampling Methods

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 Institute.

Selected Publications:
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, 92, 1555-1562.

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, 199-210.

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.