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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 ...
River flow modelling using nonparametric functional data analysis
(John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), 2018)
[Abstract]: Time series and extreme value analyses are two statistical approaches usually
applied to study hydrological data. Classical techniques, such as autoregressive
integrated moving-average models (in the case of ...
survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis
(American Statistical Association, 2013-08)
[Abstract] The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions ...