1 citations · 1 across the 1 of their papers we have counts for
4 papers
Asymptotically Equivalent Prediction in Multivariate Geostatistics
François Bachoc, Emilio Porcu, Moreno Bevilacqua +2
Cokriging is the common method of spatial interpolation (best linear unbiased prediction) in multivariate geostatistics. While best linear prediction has been well understood in un…
Non-Gaussian Geostatistical Modeling using (skew) t Processes
M. Bevilacqua, C. Caamaño, R. B. Arellano Valle +1
We propose a new model for regression and dependence analysis when addressing spatial data with possibly heavy tails and an asymmetric marginal distribution. We first propose a sta…
Zastavnyi Operators and Positive Definite Radial Functions
T. Faouzi, E. Porcu, M. Bevilacqua +1
Positive definite functions are fundamental to many areas of applied mathematics, probability theory, spatial statistics and machine learning, amogst others. Motivated by a problem…
Composite likelihood estimation for a gaussian process under fixed domain asymptotics
François Bachoc, Moreno Bevilacqua, Daira Velandia
We study the problem of estimating the covariance parameters of a one-dimensional Gaussian process with exponential covariance function under fixed-domain asymptotics. We show that…