We present a general coregionalization framework for developing coregionalized multivariate Gaussian conditional autoregressive (cMCAR) models for Bayesian analysis of multivariate lattice data in ...

What is the simplest way to include heteroscedastic noise models with coregionalization? Is it just a case of setting the variance of the various kernel components (one per output) to the appropria ...

MATLAB code for the paper, Deep coregionalization (DC) for the emulation of simulation-based spatial-temporal fields (https://www.sciencedirect.com/science/article ...

Abstract: Physical simulations based on partial differential equations typically generate spatial fields results, which are utilized to calculate specific properties of a system for engineering design ...

Most mining decisions are based on models estimated/simulated given the information obtained from samples. During the exploration stage, samples are commonly taken using diamond drill holes which are ...