Intrinsic priors for model selection using an encompassing model with applications to censored failure time data.

DOI10.1023/A:1009641709382zbMath1079.62506WikidataQ30608515 ScholiaQ30608515MaRDI QIDQ1585684

R. Smith

Publication date: 2000

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (9)

Training samples in objective Bayesian model selection. ⋮ A new minimal training sample scheme for intrinsic Bayes factors in censored data ⋮ Prior distributions for objective Bayesian analysis ⋮ A consistent on‐line Bayesian procedure for detecting change points ⋮ Cluster analysis, model selection, and prior distributions on models ⋮ Objective Bayesian Testing of a Poisson Mean ⋮ Objective Testing Procedures in Linear Models: Calibration of the p‐values ⋮ Intrinsic Priors for Testing Two Normal Means with Intrinsic Bayes Factors ⋮ Default Bayes factors for generalized linear models.

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