P. Lahiri

发表

Empirical Bayes Estimation of Finite Population Means from Complex Surveys

Vipin Arora, P. Lahiri, K. Mukherjee, 1997 .

Variance Modeling in the U.S. Small Area Income and Poverty Estimates Program for the American Community Survey

P. Lahiri, S. Hawala, 2010 .

Variance Modeling for Domains

P. Lahiri, S. Hawala, 2019 .

Estimation of Poverty at the School District Level Using Hierarchical Bayes Modeling

P. Lahiri, S. Hawala, 2011 .

Robust Estimation of Mean Squared Error of Small Area Estimators

P. Lahiri, J. Rao, 1995 .

On Mean Squared Prediction Error Estimation in Small Area Estimation Problems

P. Lahiri, Shijie Chen, 2008 .

Poverty Mapping for the Chilean Comunas

P. Lahiri, Carolina Valencia, J. Encina, 2016 .

Empirical Bayes estimation of median income of four-person families by state using time series and cross-sectional data

P. Lahiri, T. Maiti, G. Datta, 2002 .

On measures of uncertainty of empirical Bayes small-area estimators

P. Lahiri, Ferry Butar Butar, 2003 .

A UNIFIED MEASURE OF UNCERTAINTY OF ESTIMATED BEST LINEAR UNBIASED PREDICTORS IN SMALL AREA ESTIMATION PROBLEMS

P. Lahiri, G. S. Datta, 2000 .

A unified jackknife theory for empirical best prediction with M-estimation

Jiming Jiang, P. Lahiri, Shu-Mei Wan, 2002 .

Hierarchical Bayes Estimation of Unemployment Rates for the States of the U.S.

P. Lahiri, T. Maiti, G. Datta, 1999 .

Estimation of Finite Population Domain Means

Jiming Jiang, Jiming Jiang, P. Lahiri, 2006 .

A new class of average moment matching priors

P. Lahiri, P. Lahiri, N. Ganesh, 2008 .

A design-based approximation to the Bayes Information Criterion in finite population sampling

P. Lahiri, E. Fabrizi, 2013 .

Adaptive Hierarchical Bayes Estimation of Small Area Proportions

P. Lahiri, Benmei Liu, 2017 .

Hierarchical Bayes Modeling of Survey-Weighted Small Area Proportions

Partha Lahiri, Graham Kalton, Benmei Liu, 2014 .

Nonparametric Bayes and empirical Bayes estimators of mean residual life at age t

Dong Ho Park, P. Lahiri, D. H. Park, 1991 .

Bayes and Empirical Bayes Analysis in Multistage Sampling

M. Ghosh, P. Lahiri, 1988 .

Estimating variance of random effects to solve multiple problems simultaneously

P. Lahiri, M. Y. Hirose, Masayo Yoshimori Hirose, 2018, The Annals of Statistics.

A New Model Variance Estimator for an Area Level Small Area Model to Solve Multiple Problems Simultaneously

P. Lahiri, M. Y. Hirose, 2017, 1701.04176.

Regression Analysis With Linked Data

P. Lahiri, M. Larsen, 2005 .

MODEL-BASED ANALYSIS OF RECORDS LINKED USING MIXTURE MODELS

P. Lahiri, M. Larsen, 2002 .

Robust empirical bayes estimation in finite population sampling

P. Lahiri, 1986 .

Adjusted Maximum Likelihood Method in Small Area Estimation Problems.

P. Lahiri, Huilin Li, 2010, Journal of multivariate analysis.

A New Approximation to the True Randomization-Based Design Effect

P. Lahiri, S. Gabler, M. Ganninger, 2016 .

The exact Mean Squared Error of Stein-rule estimator in linear models

P. Lahiri, S. Peddada, 1988 .

DISCUSSION Combining Survey and Geospatial Data Can Signiﬁcantly Improve Gender-Disaggregated Estimates of Labor Market

P. Lahiri, Michael Weber, David Newhouse, 2022 .

An evaluation of design-based properties of different composite estimators

P. Lahiri, Yang Cheng, Daniel Bonn'ery, 2018, Statistics in Transition New Series.

Model-assisted estimation of unemployment rates for longitudinal surveys with an application to the Current Population Survey

P. Lahiri, Yang Cheng, Daniel Bonnéry, 2014 .

Regression Composite Estimation: An Alternative Approach for the Current Population Survey

P. Lahiri, Yang Cheng, Daniel Bonnéry, 2014 .

Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes

P. Lahiri, David Newhouse, Michael Weber, 2022, SSRN Electronic Journal.

Generalized Maximum Likelihood Method in Linear Mixed Models with an Application in Small-Area Estimation

P. Lahiri, Huilin Li, 2009 .

Variable Selection for Linear Mixed Models with Applications in Small Area Estimation

P. Lahiri, Jiraphan Suntornchost, J. Suntornchost, 2015, Sankhya B.

Small Area Estimation of Monetary Poverty in Mexico Using Satellite Imagery and Machine Learning

P. Lahiri, David Newhouse, Joshua D. Merfeld, 2022, SSRN Electronic Journal.

Hierarchical Bayes estimation of small area proportions using statistical linkage of disparate data sources (preprint)

P. Lahiri, Soumojit Das, 2022, 2210.04980.

Parametric Bootstrap Confidence Intervals for the Multivariate Fay–Herriot Model

Takumi Saegusa, P. Lahiri, Shonosuke Sugasawa, 2020, 2006.14820.

Bayesian synthetic prediction of state level poverty using Indian Household Consumer Expenditure Survey Data1

P. Lahiri, Soumojit Das, Atanushasan Basu, 2022, Statistical Journal of the IAOS.

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models

Snigdhansu Chatterjee, Partha Lahiri, P. Lahiri, 2008, 0806.2931.

On Small Area Prediction Interval Problems

P. Lahiri, Snigdhansu Chatterjee, 2006 .

Mixed model prediction and small area estimation

Jiming Jiang, P. Lahiri, 2006 .

Robust Empirical Bayes Estimation of Means from Stratified Samples

Malay Ghosh, M. Ghosh, P. Lahiri, 1987 .

A second-order efficient empirical Bayes confidence interval

P. Lahiri, M. Yoshimori, 2014, 1407.0158.

Robust Empirical Best Small Area Finite Population Mean Estimation Using a Mixture Model

Partha Lahiri, Julie Gershunskaya, P. Lahiri, 2017 .

A nested error regression model with high-dimensional parameter for small area estimation

Partha Lahiri, Nicola Salvati, P. Lahiri, 2022, Journal of the Royal Statistical Society Series B: Statistical Methodology.

A general Bayesian approach to meet different inferential goals in poverty research for small areas

P. Lahiri, Jiraphan Suntornchost, 2018, Statistics in Transition New Series.

Evaluation of Synthetic Small-area Estimators Using Design-based Methods

Partha Lahiri, Santanu Pramanik, P. Lahiri, 2019, Austrian Journal of Statistics.

A Simple Adaptation of Variable Selection Software for Regression Models to Select Variables in Nested Error Regression Models

Yan Li, Partha Lahiri, P. Lahiri, 2018, Sankhya B.

Triple-Goal Estimation of Unemployment Rates for U.S. States Using the U.S. Current Population Survey Data

Partha Lahiri, Yang Cheng, Neung Soo Ha, 2015 .

Comments on: Single and two-stage cross-sectional and time series benchmarking procedures for small area estimation

Partha Lahiri, Neung Soo Ha, P. Lahiri, 2014 .

Methods and results for small area estimation using smoking data from the 2008 National Health Interview Survey

Partha Lahiri, Neung Soo Ha, Van Parsons, 2014, Statistics in medicine.

A new adjusted maximum likelihood method for the Fay-Herriot small area model

Partha Lahiri, Masayo Yoshimori, P. Lahiri, 2014, J. Multivar. Anal..

Inferences on Small Area Proportions.

P. Lahiri, Shijie Chen, 2012, Journal of the Indian Society of Agricultural Statistics. Indian Society of Agricultural Statistics.

Interval Estimation for Small Area Proportions with Small True Proportions from Stratified Random Sampling Survey Data y

P. Lahiri, Carolina Franco, 2012 .

A New Adjusted Residual Likelihood Method for the Fay-Herriot Small Area Model

P. Lahiri, M. Yoshimori, 2012 .

Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang.

P. Lahiri, S. Pramanik, 2011, Statistical science : a review journal of the Institute of Mathematical Statistics.

On the Estimation of Mean Squared Prediction Error in Small Area Estimation

P. Lahiri, Shijie Chen, 2011 .

An Empirical Best Linear Unbiased Prediction Approach to Small-Area Estimation of Crop Parameters

P. Lahiri, M. Bellow, 2011 .

An adjusted maximum likelihood method for solving small area estimation problems

Huilin Li, Partha Lahiri, P. Lahiri, 2010, J. Multivar. Anal..

Empirical Bayes Methodology for the NASS County Estimation Program

P. Lahiri, M. Bellow, 2010 .

Using Sample Data to Reduce Nonsampling Error in State-Level Estimates Produced from Tax Records

P. Lahiri, Kimberly Henry, Jana Scali, 2009 .

Robust Model-Based and Model-Assisted Predictors of the Finite Population Total

P. Lahiri, Yan Li, Yan Li, 2007 .

On the design-consistency property of hierarchical Bayes estimators in finite population sampling

P. Lahiri, K. Mukherjee, 2007, 0708.1890.

A Simple Computational Method for Estimating Mean Squared Prediction Error in General Small-Area Model

P. Lahiri, Snigdhansu Chatterjee, 2007 .

Using the Statistics of Income Division’s Sample Data To Reduce Measurement and Processing Error in Small-Area Estimates Produced from Administrative Tax Records

P. Lahiri, Kimberly Henry, R. Fisher, 2007 .

Estimation of the Change in Total Employment Using the U.S. Current Employment Statistics Survey

Bogong Li, P. Lahiri, 2005 .

On the Impact of Bootstrap in Survey Sampling and Small-Area Estimation

Partha Lahiri, P. Lahiri, 2003 .

Empirical Bayes Estimation of Relative Risks in Disease Mapping

Tapabrata Maiti, P. Lahiri, T. Maiti, 2002 .

On an Asymptotic Theory of Conditional and Unconditional Coverage Probabilities of Empirical Bayes Confidence Intervals

M. Ghosh, P. Lahiri, G. Datta, 2002 .

Empirical Best Prediction for Small Area Inference with Binary Data

Jiming Jiang, Jiming Jiang, P. Lahiri, 2001 .

A Hierarchical Bayes Approach to Small Area Estimation with Auxiliary Information

M. Ghosh, P. Lahiri, 1992 .

Synthetic time series technique for predicting network-wide road traffic

Ying Han, Cinzia Cirillo, Kartik Kaushik, 2018, Statistical Journal of the IAOS.

A Conversation with Robert Groves

Partha Lahiri, Hermann Habermann, Courtney Kennedy, 2017 .

Multi-Goal Prior Selection: A Way to Reconcile Bayesian and Classical Approaches for Random Effects Models

Partha Lahiri, Masayo Y. Hirose, P. Lahiri, 2019, Journal of the American Statistical Association.

A Unified Monte-Carlo Jackknife for Small Area Estimation after Model Selection

Jiming Jiang, Thuan Nguyen, Jiming Jiang, 2016, 1602.05238.

Robust hierarchical Bayes estimation of small area characteristics in the presence of covariates and outliers

P. Lahiri, G. S. Datta, P. Lahiri, 1995 .

Robust Estimation of Monthly Employment Growth Rates for Small Areas in the Current Employment Statistics Survey * October 2008

P. Lahiri, J. Gershunskaya, 2008 .

Use of Administrative Records in Small Area Estimation

Andreea L. Erciulescu, P. Lahiri, Carolina Franco, 2021 .

Statistical Analysis with Linked Data

Partha Lahiri, Ying Han, P. Lahiri, 2018, International Statistical Review.

An adaptive hierarchical Bayes quality measurement plan

Partha Lahiri, Huilin Li, P. Lahiri, 2009 .

An innovative approach to measure measuring multidimensional poverty: A synthesis method

P. Lahiri, R. Gunatilaka, P. Dunusinghe, 2022, Statistical Journal of the IAOS.

Composite estimation of drug prevalences for sub-state areas

P. Lahiri, M. Larsen, M. Chattopadhyay, 2007 .

Statistics Preprints Statistics 6-2004 Regression Analysis with Linked Data

P. Lahiri, M. Larsen, 2016 .

A new alternative to the standard F test for clustered data

P. Lahiri, Yan Li, 2009 .

BAYES AND EMPIRICAL BAYES ESTIMATION OF THE FINITE POPULATION MEAN USING AUXILIARY INFORMATION

P. Lahiri, S. Peddada, 1992 .

On robust empirical Bayes analysis of means and variances from stratified samples

R. Tiwari, P. Lahiri, 1989 .

On the definition and interpretation of interviewer variability for a complex sampling design

P. Lahiri, S. Gabler, 2007 .

Analysis of complex survey data using robust model-based and model-assisted methods

Yan Li, Partha Lahiri, P. Lahiri, 2006 .