4 papers
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…
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…
Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data
Rodney Fonseca, Guilherme Ludwig, Michel Montoril +1
We employ nonparametric statistical procedures to analyse multitemporal SAR/PolSAR satellite images. The aim is two-fold. We seek parsimony in data representation as well as effici…
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…