Buscar
Mostrando ítems 1-10 de 1590
Spatial Inferences in Narrative Comprehension: the Role of Verbal and Spatial Working Memory
(Universidad Complutense de Madrid, 2016-03)
During the comprehension of narrative texts, readers keep a mental representation of the location of protagonists and objects; a breach in spatial coherence is detected by longer online reading times (consistency effect). ...
Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements
(2013-04-01)
Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active ...
Chlorophyll a spatial inference using artificial neural network from multispectral images and in situ measurements
(2013-04-01)
Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active ...
The role of ventromedial prefrontal cortex in text comprehension inferences: Semantic coherence or socio-emotional perspective?
(Academic Press Inc Elsevier Science, 2014-02)
Two hypotheses about the role of the ventromedial prefrontal cortex (vmPFC) in narrative comprehension inferences, global semantic coherence versus socio-emotional perspective, were tested. Seven patients with vmPFC lesions ...
A non-homogeneous poisson model with spatial anisotropy applied to ozone data from Mexico City
(Springer, 2015-06-01)
In this work we consider a non-homogenous Poisson model to study the behaviour of the number of times that a pollutant's concentration surpasses a given threshold of interest. Spatial dependence is imposed on the ...
Bayesian analysis of spatial data using different variance and neighbourhood structures
(Taylor & Francis Ltd, 2016-02-11)
In disease mapping, the overall goal is to study the incidence or mortality risk caused by a specific disease in a number of geographical regions. It is common to assume that the response variable follows a Poisson ...
State space models with spatial deformation
(Environmental and Ecological Statistics, 2013)
Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data
(Springer, 2019-06-01)
A non-homogeneous Poisson process is used to study the rate at which a pollutant's concentration exceeds a given threshold of interest. An anisotropic spatial model is imposed on the parameters of the Poisson intensity ...