2013
DOI: 10.1080/00031305.2013.778787
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A Bayesian Look at Nonidentifiability: A Simple Example

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Cited by 16 publications
(18 citation statements)
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“…The parameters of such a model cannot be estimated using classical frequentist methods [78,79] but can be estimated in a Bayesian framework (e.g. [80]; for an introduction to Bayesian methods see [81]). As described below, we defined subjective priors where we felt we had sufficient prior information to do so and applied informative regularizing priors on the remaining model parameters [82].…”
Section: (B) Methods Of Statistical Analysismentioning
confidence: 99%
“…The parameters of such a model cannot be estimated using classical frequentist methods [78,79] but can be estimated in a Bayesian framework (e.g. [80]; for an introduction to Bayesian methods see [81]). As described below, we defined subjective priors where we felt we had sufficient prior information to do so and applied informative regularizing priors on the remaining model parameters [82].…”
Section: (B) Methods Of Statistical Analysismentioning
confidence: 99%
“…If The procedures for constructing pragmatic hypotheses induced by KL and CD also satisfy an additional property given by Theorem 3. [40,41]. Also, let KL m and CD m be the dissimilarities calculated using Z m .…”
Section: Theorem 2 Let P *mentioning
confidence: 99%
“…Inference for a simulated series will give a good overview of the resulting consequences and will provide a way to manage the issue, which will be used successfully later to analyze the cylinder liner data. The notion of identifiability, especially in a Bayesian framework, is clearly described in Wechsler et al 24 .…”
Section: Some Critical Issues About Model and Choice Of Priorsmentioning
confidence: 99%