<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>Normal</i>(0,10) prior was used to accommodate very small expected counts.</p
Parameters used in the mathematical model, including notation, description, values, reference public...
Prior specifications for the standard deviation and range parameters of the mark Gaussian Random Fie...
<p>Prior distributions (yellow) are shown together with posterior distributions for HMW (blue) and M...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
Symbols correspond to symbols used in Fig 1. All units except percents are years-1. Original values ...
<p><i>U</i>(<i>x</i>,<i>y</i>) is a Uniform distribution from <i>x</i> to <i>y</i>. <i>N</i>(<i>x</i...
We list each parameter within our modelling framework, its biological interpretation, the prior dist...
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities...
<p>Blue solid line indicates the actual distribution formulated by sampling individual patient distr...
<p>Description of the individual-level data (original successes and trials) and the resulting inform...
The issue of setting prior distributions on model parameters, or to attribute uncertainty for model ...
In this paper, we consider the problem of specifying priors for the variance components in the Bayes...
<p>Bayesian posterior distributions for all of the parameters included in the ultimate model with va...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
The two histograms on the left (A) show the values for the prior mean of the normal distribution, th...
Parameters used in the mathematical model, including notation, description, values, reference public...
Prior specifications for the standard deviation and range parameters of the mark Gaussian Random Fie...
<p>Prior distributions (yellow) are shown together with posterior distributions for HMW (blue) and M...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
Symbols correspond to symbols used in Fig 1. All units except percents are years-1. Original values ...
<p><i>U</i>(<i>x</i>,<i>y</i>) is a Uniform distribution from <i>x</i> to <i>y</i>. <i>N</i>(<i>x</i...
We list each parameter within our modelling framework, its biological interpretation, the prior dist...
In contrast to a posterior analysis given a particular sampling model, posterior model probabilities...
<p>Blue solid line indicates the actual distribution formulated by sampling individual patient distr...
<p>Description of the individual-level data (original successes and trials) and the resulting inform...
The issue of setting prior distributions on model parameters, or to attribute uncertainty for model ...
In this paper, we consider the problem of specifying priors for the variance components in the Bayes...
<p>Bayesian posterior distributions for all of the parameters included in the ultimate model with va...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
The two histograms on the left (A) show the values for the prior mean of the normal distribution, th...
Parameters used in the mathematical model, including notation, description, values, reference public...
Prior specifications for the standard deviation and range parameters of the mark Gaussian Random Fie...
<p>Prior distributions (yellow) are shown together with posterior distributions for HMW (blue) and M...
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