Elimination of nuisance parameters with reference priors
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Publication:3142231
DOI10.1093/biomet/80.2.295zbMath0778.62025OpenAlexW2057909768MaRDI QIDQ3142231
Publication date: 14 December 1993
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/80.2.295
gamma distributionprofile likelihoodJeffreys priorreference priorsmodified profile likelihoodcredible setsconditional profile likelihoodfrequentist coverage probabilitiesFieller-Creasy paradoxmultiparameter problemsinverse normal distributioneliminating nuisance parameters
Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Bayesian inference (62F15)
Related Items (22)
Integrated likelihood computation methods ⋮ Overall objective priors ⋮ Bayesian estimators of the intraclass correlation coefficient in the one-way random effects model ⋮ An overview of robust Bayesian analysis. (With discussion) ⋮ Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling ⋮ Probability matching priors for linear calibration ⋮ A reference prior for the analysis of a response surface ⋮ Integrated likelihood inference in multinomial distributions ⋮ Power Laws Distributions in Objective Priors ⋮ On interval and point estimators based on a penalization of the modified profile likelihood ⋮ A note on the confidence properties of reference priors for the calibration model ⋮ Reference priors for non-normal two-sample problems ⋮ Integrated likelihood methods for eliminating nuisance parameters. (With comments and a rejoinder). ⋮ Corrections for Bias in Maximum Likelihood Parameter Estimates Due to Nuisance Parameters ⋮ Reference Priors for Poisson Processes Involving Nuisance Parameters ⋮ Higher order asymptotic computation of Bayesian significance tests for precise null hypotheses in the presence of nuisance parameters ⋮ Some remarks on Bayesian inference for one-way ANOVA models ⋮ Objective Bayesian tests for Fieller-Creasy problem ⋮ A note on multiple testing for composite null hypotheses ⋮ On the property of posteriors for dispersion models ⋮ Approximating the marginal likelihood estimate for models with random parameters ⋮ Reference priors for exponential families
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