This paper presents a default model-selection procedure for Gaussian graphical models that involves two new developments. First, we develop an objective version of the hyper-inverse Wishart prior for restricted covariance matrices, called the HIW g-prior, and show how it corresponds to the implied fractional prior for covariance selection using fractional Bayes factors. Second, we apply a class...

OBJECTIVE The purpose of this study was to determine if granulocyte colony-stimulating factor (G-CSF) is normally present in amniotic fluid and then to determine if amniotic-fluid G-CSF levels are affected by labor and intrauterine infection. METHODS Amniotic fluid was collected from 35 patients in 4 groups: no labor, early labor, late labor, and labor plus chorioamnionitis. G-CSF levels were...

Bruss (1987) studied a continuous-time generalization of the so-called secretary problem, where options arise according to a homogeneous Poisson process of unknown intensity having an exponential prior density, G(1; 1=a). This article shows that this problem is monotone in the sense of Chow, Robbins, and Siegmund, and that the monotonicity remains for the secretary problem with Gamma prior inte...

purpose: the present study seeks to explore the effects of general language proficiency, text readability, and medical knowledge on comprehending medical texts. material & method: 63 medical students in the second year of their study were randomly selected from the english language classes. they answered 100 multiple-choice questions on grammar and vocabulary to establish the level of language ...

For variational inference in our approach, we use the following parameter settings 1. G, the number of components in truncated Dirichlet Process, is set to be M/2, where M is the total number of experts. In this way, we try to enforce the constraint that on average, there should be at least two experts in each view. In all experiments, the number of expert views recovered by our approach is sma...

Any Bayesian analysis involves combining information represented through different model components, and when sources of are in conflict it is important to detect this. Here we consider checking for prior-data models by expanding the prior used into a larger family priors, considering marginal likelihood score statistic expansion parameter. Consideration expansions can be informative about natu...