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Nonparametric geostatistical risk mapping
(2018)
In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ...
A computational validation for nonparametric assessment of spatial trends
(2021)
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...
Nonparametric Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)
[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...