Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
A Non-Stationary Spatio-Temporal Covariance Model with Dynamic Advection Effects for Rainfall Data
Pedro Nasevicius Ramos, Guilherme Ludwig
We propose a non-stationary model constructed using a mixture of spatio-temporal covariance models with advection effects; namely, models that have larger covariance values along a…
stat.ME2020
Scalable modeling of nonstationary covariance functions with non-folding B-spline deformation
Ronaldo Dias, Guilherme Ludwig, Paul Sampson
We propose a method for nonstationary covariance function modeling, based on the spatial deformation method of Sampson and Guttorp [1992], but using a low-rank, scalable deformatio…
stat.ME2013
Aggregated functional data model for Near-Infrared Spectroscopy calibration and prediction
Ronaldo Dias, Nancy L. Garcia, Guilherme Ludwig +1
Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer-Lambert formula. Considering that, for each chemical sample, the…