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Comments on: Nonparametric estimation in mixture cure models with covariates
(Springer Science and Business Media Deutschland GmbH, 2023)
[Abstract]: This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when ...
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 ...
Probability of default estimation in credit risk using mixture cure models
(Elsevier, 2024-01)
[Abstract]: An estimator of the probability of default (PD) in credit risk is proposed. It is derived from a nonparametric conditional survival function estimator based on cure models. Asymptotic expressions for the bias ...