Nonparametric estimation of the conditional survival function with double smoothing

DOI10.1080/10485252.2022.2102631OpenAlexW4287510134MaRDI QIDQ5051341

Rebeca Peláez, Ricardo Cao, Juan Manuel Vilar

Publication date: 23 November 2022

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2022.2102631

zbMATH Keywords

survival analysiscensored datanonparametric estimatorconditional survival function

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02) Nonparametric inference (62Gxx)

Uses Software

• L-BFGS-B
• L-BFGS
• LBFGS-B

Cites Work

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• Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
• Uniform central limit theorems for kernel density estimators
• Strong consistency properties of nonparametric estimators for randomly censored data. II: Estimation of density and failure rate
• Uniform consistency of the kernel conditional Kaplan-Meier estimate
• Smooth conditional distribution function and quantiles under random censorship
• Transfer of tail information in censored regression models
• On the weak convergence of the empirical conditional copula under a simplifying assumption
• Bootstrapping the mean integrated squared error
• Probability of default estimation in credit risk using a nonparametric approach
• Uniform strong convergence results for the conditional kaplan-meier estimator and its quantiles
• Remarks on Some Nonparametric Estimates of a Density Function
• Nonparametric Estimation from Incomplete Observations
• Financial survival analysis of defaulted debtors
• Asymptotic properties of a generalized kaplan-meier estimator with some applications
• Algorithm 778: L-BFGS-B
• Strong representation of a generalized product-limit estimator for truncated and censored data with some applications
• A Limited Memory Algorithm for Bound Constrained Optimization
• Comparison of kernel estimators of conditional distribution function and quantile regression under censoring
• Non‐parametric Quantile Regression with Censored Data
• On Estimation of a Probability Density Function and Mode

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