Smooth Backfitting of Proportional Hazards With Multiplicative Components

DOI10.1080/01621459.2020.1753520zbMath1506.62283arXiv1707.04622OpenAlexW3015239038MaRDI QIDQ5881977

María Dolores Martínez Miranda, Munir Hiabu, Jens Perch Nielsen, Enno Mammen

Publication date: 14 March 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1707.04622

zbMATH Keywords

nonparametric methodslifetime and survival analysissmoothing and nonparametric regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in survival analysis and censored data (62N02)

Related Items

Modeling the occurrence of events subject to a reporting delay via an EM algorithm

Uses Software

• ranger

Cites Work

• Unnamed Item
• Unnamed Item
• The existence and asymptotic properties of a backfitting projection algorithm under weak conditions
• A global partial likelihood estimation in the additive Cox proportional hazards model
• Estimating multiplicative and additive hazard functions by kernel methods
• A general projection framework for constrained smoothing.
• Efficient estimation of the partly linear additive Cox model
• Bandwidth selection in marker dependent kernel hazard estimation
• Optimal global rates of convergence for nonparametric regression
• Kernel estimation in a nonparametric marker dependent hazard model
• Operational time and in-sample density forecasting
• Asymptotics for in-sample density forecasting
• In-sample forecasting applied to reserving and mesothelioma mortality
• Nonparametric estimation in the Cox model
• Smooth backfitting in generalized additive models
• Estimation in additive Cox models by marginal integration
• Martingale-based residuals for survival models
• Classical Backfitting for Smooth-Backfitting Additive Models
• Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
• Marker dependent kernel hazard estimation from local linear estimation
• Diagnostic Plots to Reveal Functional Form for Covariates in Multiplicative Intensity Models
• On the relationship between classical chain ladder and granular reserving
• Smooth Backfitting in Practice
• Boundary and Bias Correction in Kernel Hazard Estimation
• A kernel method of estimating structured nonparametric regression based on marginal integration
• On Estimation of the Hazard Function From Population-Based Case–Control Studies
• In-sample forecasting with local linear survival densities
• Statistical models based on counting processes
• Random forests