In multivariate spatio-temporal analysis, we are faced with the formidable challenge of
specifying a valid spatio-temporal cross-covariance function, either directly or through the …

Covariance function plays very important roles in modeling and in prediction of spatial data.
For instance, many statistical inferences such as maximum likelihood estimation and best …

In this paper, we study space–time generalized additive models. We apply the penalyzed
likelihood method to fit generalized additive models (GAMs) for nonseparable spatio …

The modeling of spatio-temporal and multivariate spatial random fields has been an
important and growing area of research due to the increasing availability of spacetime …

abstract In multivariate spatio-temporal analysis, we are faced with the formidable challenge
of specifying a valid spatio-temporal crosscovariance function, either directly or through the …

In this paper, we first study the theory of the spatial-temporal half spectral modeling and
describe some properties of recently proposed half spectral models. Next, we propose an …