Improving on the MLE of a bounded normal mean.
DOI10.1214/aos/1013699994zbMath1041.62016OpenAlexW2055370346MaRDI QIDQ1848897
Éric Marchand, François Perron
Publication date: 14 November 2002
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1013699994
squared error lossmaximum likelihood estimatormodified Bessel functionmonotone likelihood ratioBayes estimatorsmultivariate normal distributionrestricted parameter spaceLangevin distributionnoncentral chi-square distribution
Estimation in multivariate analysis (62H12) Point estimation (62F10) Parametric inference under constraints (62F30) Bayesian inference (62F15)
Related Items (19)
Cites Work
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- Minimax estimation of a bounded normal mean vector
- On the estimation of a restricted normal mean
- Estimating a bounded normal mean
- Modified Bessel functions and their applications in probability and statistics
- Improving on the MLE of a bounded normal mean.
- Inadmissibility of Linearly Invariant Estimators in Truncated Parameter Spaces
- Bayes and admissibility properties of estimators in truncated parameter spaces
- Generalized Bayes Solutions in Estimation Problems
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