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Maybe they wouldn't crash quite so many engagement parties, but the characters — part-time models with vague plans to be ultra-famous — aren't that different from other L.A. waiters.
28 29 We also conducted fixed and random effects models with vague priors.
The random and fixed effect models with vague priors for multiarm trials developed by Ade et al 31 will be used.
It is of interest to note that there was a high degree of similarity between the estimates calculated and reported using Bland and Altman's methods that could be directly compared to the estimates derived from the implemented multivariate hierarchical Bayesian models with vague priors.
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Since we had no previous information on parameter values, we constructed a prior model with vague distributions [28].
The modelling and implementation of the multivariate hierarchical Bayesian model with vague prior information was also straightforward.
The justification for Bayesian hierarchal modeling with vague priors is that the data likelihood will determine the extent of this pooling.
It is, therefore, necessary to develop a new UA risk assessment model to deal with vague information.
All models employed Bayesian inference, with vague or flexible prior beliefs and an MCMC implementation.
Log m u i = Log E i + α + S i All models employed Bayesian inference, with vague or flexible prior beliefs and a Markov Chain Monte Carlo (MCMC) implementation.
It is the estimated effect of the positive controls for treatment level j and assay k using the same model as above, but with vague priors for all parameters.
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