Laplace approximations for censored linear regression models

DOI10.2307/3315783zbMath1066.62530OpenAlexW2119792877MaRDI QIDQ4378570

George D. Papandonatos, Seymour Geisser

Publication date: 1997

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11299/199625

zbMATH Keywords

linear regressionBayesian inferencecensored dataLaplace approximationlikelihood inferencesecond-order asymptotics

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01) Bayesian inference (62F15) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (1)

Bayesian interim analysis of lifetime data

Uses Software

• LISP-STAT

Cites Work

• Bayesian interim analysis of censored exponential observations
• Approximations of marginal tail probabilities and inference for scalar parameters
• Bayesian residual analysis in the presence of censoring
• Approximate Inference for the Generalized Gamma Distribution
• Approximate Bayesian analysis of censored survival data
• Allowance for skewness in maximum-likelihood estimation with application to the location-scale model
• Maximum likelihood in small samples: Estimation in the presence of nuisance parameters
• An accurate method for approximate conditional and Bayesian inference about linear regression models from censored data
• Bayesian Analysis of Regression Error Terms
• Comparing probabilistic methods for outlier detection in linear models
• Approximate inference for location and scale parameters with application to failure-time data
• A framework for Bayesian and likelihood approximations in statistics
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