We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done by maximizing the likelihood of the model. In this framework, it is difficult to determine the true number of hidden units using an information criterion, like the Bayesian information criteria (BIC), because the information mat...

However, for all the significance and widespread prevalence of stress among the population, there is still no appliances or devices to measure the level of stress in people in real everyday life Modern medical and biological and psychophysiological studies convincingly show that emotional stress is the cause of many psychosomatic diseases, exerts a comprehensive destructive influence on the vit...

Most procedures that have been proposed to identify dispersion effects in unreplicated factorial designs assume that location effects have been identified correctly. Incorrect identification of location effects may impair subsequent identification of dispersion effects. We develop a model for joint identification of location and dispersion effects that can reliably identify active effects of bo...

A multivariate Bayesian spatial modeling approach was used to jointly model the counts of two types of crime, i.e., burglary and non-motor vehicle theft, and explore the geographic pattern of crime risks and relevant risk factors. In contrast to the univariate model, which assumes independence across outcomes, the multivariate approach takes into account potential correlations between crimes. S...

Bayesian methods have been efŽ cient in estimating parameters of stochastic volatility models for analyzing Ž nancial time series. Recent advances made it possible to Ž t stochastic volatility models of increasing complexity, including covariates, leverage effects, jump components, and heavy-tailed distributions.However, a formal model comparison via Bayes factors remains difŽ cult. The main ob...

Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model comparison but has not been applied to Bayesian multiple QTL mapping. A derivation of the DIC ...

The contrasting consumption behaviour of UK, US and Japanese households is examined in this paper through the lens of modernised Ando-Modgliani style consumption functions. Income growth expectations are treated systematically and income uncertainty and credit channel features are incorporated. These models therefore capture important parts of the financial accelerator. The evidence is that, si...