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A Doubly Smoothed PD Estimator in Credit Risk
(MDPI AG, 2020-09-01)
[Abstract]
In this work a doubly smoothed probability of default (PD) estimator is proposed based on a smoothed version of the survival Beran’s estimator. The asymptotic properties of both the smoothed survival and PD ...
Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator
(MDPI, 2021)
[Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean ...
Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available
(MDPI, 2021)
[Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure model when the cure status is partially known. For the ...
Nonparametric Inference in Mixture Cure Models
(MDPI, 2018-09)
[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ...