On the May 6, 2012, program, Kevin's guest was Father George Aquaro (Antiochian Orthodox priest), who has done advanced training as an exorcist. Continue the conversation on the Ancient Faith Today Forum found HERE.

By Gerald E. Ulen Discover the Hidden Realms of Electricity with Gerald E. Ulen's Upcoming Release

El marketing paranormal es el conjunto de estrategias que usan los videntes para darse a conocer y seguir esquilmando a gente desesperada

The Penn State DuBois Office of Student Engagement will welcome students and members of the public to Hiller Auditorium on Thursday, Oct. 17, when paranormal investigator John Zaffis visits campus.

hit show features the best in supernatural experts and authors

The fourth entry in the supernatural series fails to offer anything new, but there are a handful of spooky and shocking moments.

Jami J. Mulgrave, Subhashis Ghosal.

Source: Bayesian Analysis, Volume 15, Number 2, 449--475.

Abstract:
Gaussian graphical models have been used to study intrinsic dependence among several variables, but the Gaussianity assumption may be restrictive in many applications. A nonparanormal graphical model is a semiparametric generalization for continuous variables where it is assumed that the variables follow a Gaussian graphical model only after some unknown smooth monotone transformations on each of them. We consider a Bayesian approach in the nonparanormal graphical model by putting priors on the unknown transformations through a random series based on B-splines where the coefficients are ordered to induce monotonicity. A truncated normal prior leads to partial conjugacy in the model and is useful for posterior simulation using Gibbs sampling. On the underlying precision matrix of the transformed variables, we consider a spike-and-slab prior and use an efficient posterior Gibbs sampling scheme. We use the Bayesian Information Criterion to choose the hyperparameters for the spike-and-slab prior. We present a posterior consistency result on the underlying transformation and the precision matrix. We study the numerical performance of the proposed method through an extensive simulation study and finally apply the proposed method on a real data set.

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