Yosida approximations of the cumulative distribution function and applications in survival analysis
DOI10.1016/J.JAT.2024.106123MaRDI QIDQ6658101
Publication date: 8 January 2025
Published in: Journal of Approximation Theory (Search for Journal in Brave)
copulamaximal monotone operatorsurvival functionKaplan-Meier estimatorcumulative distribution functionYosida approximationasymptotically unbiased estimator
Monotone operators and generalizations (47H05) Set-valued operators (47H04) Approximations to statistical distributions (nonasymptotic) (62E17) Estimation in survival analysis and censored data (62N02) Harmonic analysis on Euclidean spaces (42-XX) Approximations and expansions (41-XX)
Cites Work
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- Random variables, monotone relations, and convex analysis
- The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
- Familles d'opérateurs maximaux monotones et mesurabilite
- Differentiability of six operators on nonsmooth functions and \(p\)-variation. With the collaboration of Jinghua Qian
- Polygonal smoothing of the empirical distribution function
- On estimating distribution functions using Bernstein polynomials
- Dynamic regression models for survival data.
- Concrete Functional Calculus
- Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
- Nonparametric Estimation from Incomplete Observations
- Variational Analysis
- On proximal mappings with Young functions in uniformly convex Banach spaces
- One-dimensional empirical measures, order statistics, and Kantorovich transport distances
- Applied Proof Theory: Proof Interpretations and Their Use in Mathematics
- The Asymptotic Inadmissibility of the Sample Distribution Function
- Convex analysis and monotone operator theory in Hilbert spaces
- Statistical models based on counting processes
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