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stat.ME2020
Consistent regression of biophysical parameters with kernel methods
Emiliano Díaz, Adrián Pérez-Suay, Valero Laparra +1
This paper introduces a novel statistical regression framework that allows the incorporation of consistency constraints. A linear and nonlinear (kernel-based) formulation are intro…
stat.ME2020
Causal Inference in Geoscience and Remote Sensing from Observational Data
Adrián Pérez-Suay, Gustau Camps-Valls
Establishing causal relations between random variables from observational data is perhaps the most important challenge in today's \blue{science}. In remote sensing and geosciences…