research
∙
02/01/2023
The Spatial Kernel Predictor based on Huge Observation Sets
Spatial prediction in an arbitrary location, based on a spatial set of o...
research
∙
06/25/2020
Spatio-temporal Inversion using the Selection Kalman Model
Data assimilation in models representing spatio-temporal phenomena poses...
research
∙
12/05/2018
Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models
We introduce the concept of conjugate prior models for a given likelihoo...
research
∙
10/18/2017