UB Paderborn / Katalog / Suche / in CDI

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

Journal of the American Statistical Association, 2021-07, Vol.116 (535), p.1487-1497

2021

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ESTIMATING VARIANCE OF RANDOM EFFECTS TO SOLVE MULTIPLE PROBLEMS SIMULTANEOUSLY

The Annals of statistics, 2018-08, Vol.46 (4), p.1721-1741

2018

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Parametric Bootstrap Approximation to the Distribution of EBLUP and Related Prediction Intervals in Linear Mixed Models

The Annals of statistics, 2008-06, Vol.36 (3), p.1221-1245

2008

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Parametric Bootstrap Confidence Intervals for the Multivariate Fay–Herriot Model

Journal of survey statistics and methodology, 2022-01, Vol.10 (1), p.115-130

2022

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Discussion

Bulletin - Calcutta Statistical Association, 2024-05, Vol.76 (1), p.52-56

Lahiri, Partha

2024

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Discussion

Bulletin - Calcutta Statistical Association, 2024-05, Vol.76 (1), p.52-56

Lahiri, Partha

2024

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

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2023-04, Vol.85 (2), p.212-239

2023

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Preface to the Section on Voluntary Surveys

Bulletin - Calcutta Statistical Association, 2023-05, Vol.75 (1), p.7-7

Lahiri, Partha

2023

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Statistical Analysis with Linked Data

International statistical review, 2019-05, Vol.87 (S1), p.S139-S157

2019

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A SECOND-ORDER EFFICIENT EMPIRICAL BAYES CONFIDENCE INTERVAL

The Annals of statistics, 2014-08, Vol.42 (4), p.1233-1261

2014

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Discussion of “Probability vs. Nonprobability Sampling:From the Birth of Survey Sampling to the Present Day” by Graham Kalton

Statistics in transition : journal of the Polish Statistical Association, 2023, Vol.24 (3), p.31-37

2023

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

Journal of multivariate analysis, 2014-02, Vol.124, p.281-294

2014

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Estimation of mask effectiveness perception for small domains using multiple data sources

Statistics in transition : journal of the Polish Statistical Association, 2022-03, Vol.23 (1), p.1-20

2022

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

Statistics in transition : journal of the Polish Statistical Association, 2020-08, Vol.21 (4), p.237-253

2020

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

Sankhyā. Series B (2008), 2019-12, Vol.81 (2), p.302-317

2019

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Spatial Prediction in Small Area Estimation

Statistics in transition : journal of the Polish Statistical Association, 2023, Vol.24 (3), p.77-94

2023

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Adaptive Hierarchical Bayes Estimation of Small Area Proportions

Bulletin - Calcutta Statistical Association, 2017-11, Vol.69 (2), p.150-164

2017

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

Bulletin - Calcutta Statistical Association, 2017-11, Vol.69 (2), p.183-204

2017

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

Statistics in medicine, 2014-09, Vol.33 (22), p.3932-3945

2014

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

Sankhyā. Series B (2008), 2015-11, Vol.77 (2), p.312-320

2015

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Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples

Survey methodology, 2024-06, Vol.50 (1), p.1

Lahiri, Partha

2024

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

Statistical journal of the IAOS, 2022-12, Vol.38 (4), p.1325-1335

2022

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A Conversation with Robert Groves

Statistical science, 2017-02, Vol.32 (1), p.128-137

2017

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

Statistical journal of the IAOS, 2022-01, Vol.38 (4), p.1325

2022

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An innovative approach to measure multidimensional poverty: A synthesis method

Statistical journal of the IAOS, 2022, Vol.38 (4), p.1303-1323

2022

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

ESTIMATING VARIANCE OF RANDOM EFFECTS TO SOLVE MULTIPLE PROBLEMS SIMULTANEOUSLY

Parametric Bootstrap Approximation to the Distribution of EBLUP and Related Prediction Intervals in Linear Mixed Models

Parametric Bootstrap Confidence Intervals for the Multivariate Fay–Herriot Model

Discussion

Discussion

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

Preface to the Section on Voluntary Surveys

Statistical Analysis with Linked Data

A SECOND-ORDER EFFICIENT EMPIRICAL BAYES CONFIDENCE INTERVAL

Discussion of “Probability vs. Nonprobability Sampling:From the Birth of Survey Sampling to the Present Day” by Graham Kalton

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

Estimation of mask effectiveness perception for small domains using multiple data sources

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

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

Spatial Prediction in Small Area Estimation

Adaptive Hierarchical Bayes Estimation of Small Area Proportions

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

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

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

Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples

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

A Conversation with Robert Groves

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

An innovative approach to measure multidimensional poverty: A synthesis method

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