ListarInstitute of New Imaging Technologies (INIT) por tema "geostatistics"
Mostrando ítems 1-5 de 5
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A note on smoothness measures for space-time surfaces
Springer Verlag (2013-09)The differentiability of a random field has a direct relationship with the differentiability of its covariance function. We review the concept of differentiability of space–time covariance models and random fields, and its ... -
Analysis of variance for spatially correlated functional data: Application to brain data
Elsevier (2019)Functional data showing spatial dependence structure occur in many applied fields. For example, in meteorology when curves of temperature are obtained in a monitoring network, or in neurological studies when curves of the ...
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Hierarchical clustering of spatially correlated functional data
John Wiley & Sons (2012-11)Classification problems of functional data arise naturally in many applications. Several approaches have been considered for solving the problem of funding groups based on functional data. In this paper we are interested ... -
High leverage detection in general functional regression models with spatially correlated errors
Wiley (2021)The presence of curves that deviate markedly from the core of a set of curves can greatly affect inference and forecasting in a functional regression model. Thus their detection is key to increase the accuracy of the ...
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Multivariate Kalman filtering for spatio-temporal processes
Springer (2022)An increasing interest in models for multivariate spatio-temporal processes has been noted in the last years. Some of these models are very flexible and can capture both marginal and cross spatial associations amongst the ...
