STUDY OBJECTIVE Most studies of place effects on health have followed the multilevel analytical approach that investigates geographical variations of health phenomena by fragmenting space into arbitrary areas. This study examined whether analysing geographical variations across continuous space with spatial modelling techniques and contextual indicators that capture space as a continuous dimens...

Bayesian network (BN) is known to be one of the most solid probabilistic modeling tools. The theory of BN provides already several useful modifications of a classical network. Among those there are context-enabled networks such as multilevel networks or recursive multinets, which can provide separate BN modelling for different combinations of contextual features’ values. The main challenge of t...

Multilevel modeling is an increasingly popular technique for analyzing hierarchical data. This article addresses the problem of predicting a future observable y*j in the jth group of a hierarchical data set. Three prediction rules are considered and several analytical results on the relative performance of these prediction rules are demonstrated. In addition, the prediction rules are assessed b...

Deep neural network models have become ubiquitous in recent years and been applied to nearly all areas of science, engineering, industry. These are particularly useful for data that strong dependencies space (e.g., images) time sequences). Indeed, deep also extensively used by the statistical community model spatial spatiotemporal through, example, use multilevel Bayesian hierarchical Gaussian ...

Motivated by the need to reason about u t i l ities, and inspired by the success of bayesian networks in representing and reasoning about probabilities, we introduce the notion of ut i l i ty distr ibutions, in which uti l i t ies have the structure of probabilit ies. We furthermore define the notion of a bi-d istr ibut ion, a structure that includes in a symmetric fashion both a probabil i ty ...

The current study explored the relationship of the presence of, and search for, a calling to the career development of 3091 first year college students. The presence of a calling correlated positively with decidedness, comfort, self clarity and choice-work salience and correlated negatively with indecisiveness and lack of educational information. The search for a calling correlated negatively w...

The social network site Facebook is a rapidly expanding phenomenon that is changing the nature of social relationships. Anecdotal evidence, including information described in the popular media, suggests that Facebook may be responsible for creating jealousy and suspicion in romantic relationships. The objectives of the present study were to explore the role of Facebook in the experience of jeal...

It has been found that the L* function defined in the CIELAB color space is not suitable to predict the human visual perception of modulated patterns at high spatial frequencies. For example, in multilevel haiftoning (multitoning), when output levels are equally spaced in L , it has been observed that the visibility ofthe resulting multitone patterns is not uniform across different parts of the...

We study the numerical solution of forward and inverse time-harmonic acoustic scattering problems by randomly shaped obstacles in three-dimensional space using a fast isogeometric boundary element method. Within framework, realizations random scatterer can efficiently be computed simply updating NURBS mappings which represent scatterer. This way, we end up with deformation field. In particular,...