vector_integrate_kernel

Kern

Column vector with values for the first coordinate of the kernel.

Inferior limit for the integral in y.

Superior limit for the integral in y.

Number of uniform division to compute the integral.

This function is part of the routines employed in the sensitivity analysis, takes 
the kernel \(k\) and for each fixed coordinate in \(x\), the integral in the second 
variable \(y\), is computed in the interval \(a\) to \(b\) by taking \(n\) uniform
steps.

Implements different methods for spatial statistics, in particular focused in
Kriging based models. We count with different implemented models, simple, ordinary and
universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate
sensitivity analysis under an approximation designed over reproducing kernel Hilbert spaces and
computation of Sobol indexes under this framework.

vector_integrate_kernel: One coordinate kernel integral.

Description

Usage

Arguments

Value

See Also