An outstanding problem in psychiatry concerns how to link discoveries about the pharmacological, neurophysiological, and neuroanatomical substrates of mental disorders to the abnormal behaviors that they control. A related problem concerns how to understand abnormal behaviors on a continuum with normal behaviors. During the past few decades, neural models have been developed of how normal cogni...

This paper estimates a price elasticity using a flexible demand specification on survey data where prices are observed with error are correlated with household characteristics. The demand function is modeled as being a polynomial (and more generally also including trigonometric terms) in the unobserved true prices and the form of the dependency between the observed (mismeasured) prices and hous...

Viewing linguistic modelling as annotation of a variety of phenomena becomes an increasingly popular perspective in natural language processing and grammar engineering, and it changes the way grammar modularity is understood nowadays. In this contribution we shall concentrate on a generalisation of the notion of dependency in combination with a rich typology of observable relationships holding ...

Figure 4 and the bootstrap code are incorrect. In the R-code, included as a supplement to Bringmann et al. (2013), time dependency was not taken into account properly in the bootstrapping procedure. In the original analysis, the authors used a parametric bootstrap method. However, taking the time dependency properly into account is not easy and therefore they have opted for nonparametric bootst...

A multiple regression model was used to analyse if the structure of vegetation and soil patches in grazed units (pastures) can be used as explanatory variables to predict the prevalence of Dicrocoelium dendriticum, a common parasite of cattle and sheep, in grazing cattle stocks on the Baltic island of Öland in southern Sweden. The scale dependency was evaluated by comparing three levels of spat...

Successful social interactions depend on people's ability to predict others' future actions and emotions. People possess many mechanisms for perceiving others' current emotional states, but how might they use this information to predict others' future states? We hypothesized that people might capitalize on an overlooked aspect of affective experience: current emotions predict future emotions. B...

Multivariate functional data are increasingly encountered in data analysis, while statistical models for such data are not well developed yet. Motivated by a case study where one aims to quantify the relationship between various longitudinally recorded behavior intensities for Drosophila flies, we propose a functional linear manifold model. This model reflects the functional dependency between ...

BACKGROUND Due to the lack of small-scale neighbourhood-level health related indicators, the analysis of social and spatial determinants of health often encounter difficulties in assessing the interrelations of neighbourhood and health. Although secondary data sources are now becoming increasingly available, they usually cannot be directly utilized for analysis in other than the designed study ...

OBJECTIVE The records of 159 patients were reviewed who routinely underwent a classical volume-pressure testing procedure due to suspected cerebrospinal fluid circulatory disorders. METHODS Regression analyses were carried out to explain the cerebrospinal parameters' relationships to age. Least median squares (LMS) algorithms achieved robust estimation of simple linear model parameters. Also,...

The emotional involvement of participants in a conversation not only shows in the words they speak and in the way they speak and gesture but also in their turn-taking behavior. This paper reviews research into computational models of embodied conversational agents. We focus on models for turn-taking management and (social) emotions. We are particularly interested in how in these models emotions...