Listar Modelización, Optimización e Inferencia Estadística (MODES) por autor "Peláez, Rebeca"
Mostrando ítems 1-4 de 4
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A Doubly Smoothed PD Estimator in Credit Risk
Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (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 Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation
Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI, 2022)[Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ... -
Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator
Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (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 ... -
Probability of default estimation in credit risk using mixture cure models
Peláez, Rebeca; Keilegom, Ingrid Van; Cao, Ricardo; Vilar, Juan M. (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 ...