Discussion of: ``Specifying prior distributions in reliability applications: towards new formal rules for informative prior elicitation?

Cites Work

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Approximation of improper priors
Combining probability distributions: A critique and an annotated bibliography
Robust Bayes and empirical Bayes analysis with \(\epsilon\)-contaminated priors
Conjugate priors for exponential families
Bayesian fractional posteriors
Bayesian variable selection in linear regression
Training samples in objective Bayesian model selection.
The objectivity of subjective Bayesianism
Combining expert opinions in prior elicitation
Prior effective sample size in conditionally independent hierarchical models
The Intrinsic Bayes Factor for Model Selection and Prediction
Implications of Reference Priors for Prior Information and for Sample Size
The Safe Bayesian
Diagnostics of prior-data agreement in applied Bayesian analysis
Determining the Effective Sample Size of a Parametric Prior
The Selection of Prior Distributions by Formal Rules
BAYESIAN ANALYSIS OF GUMBEL DISTRIBUTED DATA
Modeling Expert Opinion Arising as a Partial Probabilistic Specification
Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance
Predictively consistent prior effective sample sizes
Definitions, methods, and applications in interpretable machine learning
Calibrating the prior distribution for a normal model with conjugate prior
Behaviour of the Gibbs sampler when conditional distributions are potentially incompatible
The Bayesian Choice
Stochastic Gradient Markov Chain Monte Carlo
Quantifying observed prior impact
Bayesian gamma processes for optimizing condition-based maintenance under uncertainty
Specifying prior distributions in reliability applications

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