… constructing new classes of space–time covariance functions. … of parametric classes of
space–time covariance functions. An … We introduce some classes of continuous functions, defined …

… In the last decade, other flexible covariate dependent covariance structures have been … by
assuming a spatio-temporal framework, wherein the temporal and spatial structures are jointly …

… In Section 3.1, we evaluate the methods in covariate-dependent trivariate functional
clustering. In Section 3.2, we assess the methods in covariate-dependent time-varying bivariate …

… provide a suite of covariance function models that are capable … to develop a class of
spatio-temporal covariance functions for … Covariate-dependent spatio-temporal covariance …

… new class of covariate-dependent nonstationary covariance … on modeling two large
spatio-temporal processes where the … exponential and wave covariance functions for vector b with …

… (2013), developed a mixture model where spatial and temporal effects are introduced by
using space-time covariate dependent kernel stick-breaking processes. Then, this modeling …

… In particular, we highlight a class … and anisotropic spatial covariance via the use of a complex
covariance function or kernel, our model uses a relatively simple covariance function, and …

… the consistent estimator of the covariance function \(C_X(t,s)\), … to be independent and
the covariance function \(C_e(t,s)\) was … structure, the estimator of covariance function of \(C_X(t,s)\) …

… First, we derive the covariance function conditionally on the beta variables Vk, the knots ψk
… use a spatiotemporal covariance function defined as the product of one covariance function …

… multivariate space-time covariance functions that allow to have different spatial and temporal
… and multivariate Gneiting-type classes of nonseparable space-time covariances. Section 4 …