A principled distance-based prior for the shape of the Weibull model
J. van Niekerk,
H. Bakka and
Statistics & Probability Letters, 2021, vol. 174, issue C
We propose a principled prior for the shape parameter of the Weibull model, based on a distance. It can be used as a default non-objective choice, in complex models with a Weibull modelling component and is implemented in the R-INLA package.
Keywords: Bayesian inference; INLA; Penalized complexity prior; Survival; Weibull (search for similar items in EconPapers)
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