Bayesian inference in measurement error models from objective priors for the bivariate normal distribution

DOI10.1007/s00362-016-0863-7zbMath1432.62155OpenAlexW2560114309MaRDI QIDQ2010783

Mário de Castro, Ignacio Vidal

Publication date: 28 November 2019

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-016-0863-7

zbMATH Keywords

estimationregression modelsMCMCmodel assessmentacceptance-rejection

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Linear regression; mixed models (62J05) Bayesian inference (62F15) Monte Carlo methods (65C05)

Related Items (3)

Additive distortion measurement errors regression models with exponential calibration ⋮ Measurement errors models with exponential parametric multiplicative distortions ⋮ Nonlinear multiplicative distortion regression models with second-order estimation

Uses Software

• R

Cites Work

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• Bayesian analysis of skew-\(t\) multivariate null intercept measurement error model
• Comparison between a measurement error model and a linear model without measurement error
• Bayesian statistical inference on elliptical matrix distributions
• Estimation of a structural linear regression model with a known reliability ratio
• Posterior predictive \(p\)-values
• Monte Carlo methods in Bayesian computation
• Objective priors for the bivariate normal model
• Objective Priors for Parameters in a Normal Linear Regression with Measurement Error
• Measurement Error
• Measurement Error in Nonlinear Models
• Bayesian model assessment using pivotal quantities
• Bayesian inference in measurement error models for replicated data

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