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On measuring the variability of small area estimators under a basic area level model

Biometrika, 2005-03, Vol.92 (1), p.183-196

2005

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Estimation, prediction and the Stein phenomenon under divergence loss

Journal of multivariate analysis, 2008-10, Vol.99 (9), p.1941-1961

2008

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Density Prediction and the Stein Phenomenon

Sankhya. Series. A, 2020-08, Vol.82 (2), p.330-352

2020

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A Two-Component Normal Mixture Alternative to the Fay-Herriot Model

Statistics in Transition New Series, 2016-03, Vol.17 (1), p.67-90

2016

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Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay-Herriot Model

Scandinavian journal of statistics, 2014-06, Vol.41 (2), p.497-515

2014

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Small Area Estimation With Uncertain Random Effects

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1735-1744

2015

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Estimation of mean squared error of model-based small area estimators

Test (Madrid, Spain), 2011-08, Vol.20 (2), p.367-388

2011

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Some Remarks on Noninformative Priors

Journal of the American Statistical Association, 1995-12, Vol.90 (432), p.1357-1363

1995

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Observed best selective prediction in small area estimation

Journal of multivariate analysis, 2019-09, Vol.173, p.383-392

2019

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Robust Hierarchical Bayes Small Area Estimation for the Nested Error Linear Regression Model

International statistical review, 2019-05, Vol.87 (S1), p.S158-S176

2019

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A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations

Sankhyā. Series B (2008), 2021-05, Vol.83 (1), p.215-241

2021

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On the Invariance of Noninformative Priors

The Annals of statistics, 1996-02, Vol.24 (1), p.141-159

1996

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Bayesian Prediction with Approximate Frequentist Validity

The Annals of statistics, 2000-10, Vol.28 (5), p.1414-1426

2000

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Likelihood-based Inference for the Ratios of Regression Coefficients in Linear Models

Annals of the Institute of Statistical Mathematics, 2006-09, Vol.58 (3), p.457-473

2006

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Statistical disclosure control via sufficiency under the multiple linear regression model

Journal of statistical theory and practice, 2018-01, Vol.12 (1), p.100-110

2018

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Probability Matching Priors: Higher Order Asymptotics

2004

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Comment on Article by Berger, Bernardo, and Sun

Bayesian analysis, 2015-03, Vol.10 (1)

2015

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Discussion

International statistical review, 2012-04, Vol.80 (1), p.87

Datta, Gauri Sankar

2012

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Discussion

International statistical review, 2012-04, Vol.80 (1), p.87-92

Datta, Gauri Sankar

2012

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Discussion

International statistical review, 2012-04, Vol.80 (1), p.87-92

Datta, Gauri Sankar

2012

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Discussion

International statistical review, 2012-04, Vol.80 (1), p.87-92

Datta, Gauri Sankar

2012

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On priors providing frequentist validity for Bayesian inference

Biometrika, 1995-03, Vol.82 (1), p.37-45

1995

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A two component normal mixture alternative to the Fay-Herriot model

Statistics in transition : journal of the Polish Statistical Association, 2016-03, Vol.17 (1), p.67-90

2016

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

Scandinavian journal of statistics, 2002-03, Vol.29 (1), p.139-152

2002

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Probability Matching Priors: Higher Order Asymptotics

Softcover reprint of the original 1st ed. 2004, 2012

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On measuring the variability of small area estimators under a basic area level model

Estimation, prediction and the Stein phenomenon under divergence loss

Density Prediction and the Stein Phenomenon

A Two-Component Normal Mixture Alternative to the Fay-Herriot Model

Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay-Herriot Model

Small Area Estimation With Uncertain Random Effects

Estimation of mean squared error of model-based small area estimators

Some Remarks on Noninformative Priors

Observed best selective prediction in small area estimation

Robust Hierarchical Bayes Small Area Estimation for the Nested Error Linear Regression Model

A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations

On the Invariance of Noninformative Priors

Bayesian Prediction with Approximate Frequentist Validity

Likelihood-based Inference for the Ratios of Regression Coefficients in Linear Models

Statistical disclosure control via sufficiency under the multiple linear regression model

Probability Matching Priors: Higher Order Asymptotics

Comment on Article by Berger, Bernardo, and Sun

Discussion

Discussion

Discussion

Discussion

On priors providing frequentist validity for Bayesian inference

A two component normal mixture alternative to the Fay-Herriot model

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

Probability Matching Priors: Higher Order Asymptotics

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