The optimal choice of sites to make spatial prediction is critical for a better understanding of really spatio-temporal data. It is important to obtain the essential spatio-temporal variability of the process in determining optimal design, because these data tend to exhibit both spatial and temporal variability. Two new methods of prediction for spatially correlated functional data are consider...

BACKGROUND Disease prevalence models have been widely used to estimate health, lifestyle and disability characteristics for small geographical units when other data are not available. Yet, knowledge is often lacking about how to make informed decisions around the specification of such models, especially regarding spatial assumptions placed on their covariance structure. This paper is concerned ...

We describe a method of visualising geometrically the dependency structure of a distributed representation. The mutual information between each pair of components is estimated using a nonlinear correlation coefficient, in terms of which a distance measure is defined. Multidimensional scaling is then used to generate a spatial configuration that reproduces these distances, the end result being a...

The jaw-stretch reflex is the short-latency response in the jaw-closing muscles after a sudden stretch. The hypothesis whether normalization of the jaw-stretch reflex amplitude with respect to prestimulus electromyographic (EMG) activity will make the amplitude more independent of the location of the electrodes over the masseter muscle was tested. A 5 x 6 electrode grid was used to record the j...

PURPOSE To determine if gender is a significant variable for in vivo magnetic resonance imaging (MRI) T2-mapping of knee articular cartilage in young asymptomatic volunteers. MATERIALS AND METHODS Cartilage MRI T2 mapping was performed in a young healthy population consisting of seven male and 10 female volunteers, 22 to 29 years of age. High-resolution in vivo T2 maps were obtained of patell...

Spatial-temporal prediction has many applications such as climate forecasting and urban planning. In particular, traffic prediction has drawn increasing attention in data mining research field for the growing traffic related datasets and for its impacts in real-world applications. For example, an accurate taxi demand prediction can assist taxi companies to pre-allocate taxis to meet with commut...