If a candidate model does not contain a reaction, for example a model with the topology A, N, and Y does not include A2 and thus will not include A2 division, death, or transitions to/from A2, then the rate parameter priors for A2-related reactions will not be included as a parameter prior for model fitting. (TIFF)</p
A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assum...
<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>...
The noninformative prior distribution for the parameters of the linear model transformed following B...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
(A) Rate of a cell fate (division, death, or phenotypic transition) for x (vfate) can be calculated ...
Abstract. — Bayesian phylogenetic methods require the selection of prior probability distributions f...
<p>Distribution of models by statistically significant delayed or accelerated outcomes of events, an...
<div> <div> <div> <p>Estimated population distributions for linear models of reaction times on the C...
Abstract. — Bayesian phylo^enetic methods reiiuire Ihe selection of prior probability distribulions ...
<p>The model parameters, their definitions, and the distributions from which parameter values are dr...
<p>The time of events in generations are labelled backwards in time and the conditions were as follo...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
We discuss the problem of selecting among alternative parametric models within the Bayesian framewor...
<p>Histograms in (A–C) display the frequency distribution of the estimated number of processes in th...
Dependent nonparametric processes extend distributions over mea-sures, such as the Dirichlet process...
A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assum...
<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>...
The noninformative prior distribution for the parameters of the linear model transformed following B...
<p>Prior distributions are given for all parameters, along with source if the prior incorporates a s...
(A) Rate of a cell fate (division, death, or phenotypic transition) for x (vfate) can be calculated ...
Abstract. — Bayesian phylogenetic methods require the selection of prior probability distributions f...
<p>Distribution of models by statistically significant delayed or accelerated outcomes of events, an...
<div> <div> <div> <p>Estimated population distributions for linear models of reaction times on the C...
Abstract. — Bayesian phylo^enetic methods reiiuire Ihe selection of prior probability distribulions ...
<p>The model parameters, their definitions, and the distributions from which parameter values are dr...
<p>The time of events in generations are labelled backwards in time and the conditions were as follo...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
We discuss the problem of selecting among alternative parametric models within the Bayesian framewor...
<p>Histograms in (A–C) display the frequency distribution of the estimated number of processes in th...
Dependent nonparametric processes extend distributions over mea-sures, such as the Dirichlet process...
A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assum...
<p>*Parameterized as mean and precision (1/variance, as in WinBUGS). For disease-level models, a <i>...
The noninformative prior distribution for the parameters of the linear model transformed following B...