Adaptive penalized M-estimation with current status data

DOI10.1007/s10463-005-0026-4zbMath1099.62031OpenAlexW2115892241MaRDI QIDQ853825

Michael R. Kosorok, Shuangge Ma

Publication date: 17 November 2006

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-005-0026-4

zbMATH Keywords

current status dataadaptive semiparametric estimationpenalized M-estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

Adaptive estimation of the conditional cumulative distribution function from current status data, Cumulative distribution function estimation under interval censoring case 1, Regression Analysis of a Disease Onset Distribution Using Diagnosis Data, The penalized profile sampler, Adaptive Warped Kernel Estimators

Uses Software

• gss

Cites Work

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• Estimation from current-status data in continuous time
• The weighted bootstrap
• Generalized additive models for current status data
• Efficient estimation for the proportional hazards model with interval censoring
• Nonparametric kernel regression subject to monotonicity constraints
• Least squares estimation with complexity penalties
• Weak convergence and empirical processes. With applications to statistics
• Penalized log-likelihood estimation for partly linear transformation models with current status data
• Robust semiparametric M-estimation and the weighted bootstrap
• Hazard Regression for Interval-Censored Data with Penalized Spline
• A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
• Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression
• On Profile Likelihood
• Linear Regression with Current Status Data
• Smoothing spline ANOVA models