Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure

DOI10.1214/11-AOS942zbMath1246.62090arXiv1205.6055MaRDI QIDQ450019

Moulinath Banerjee, Runlong Tang, Michael R. Kosorok

Publication date: 3 September 2012

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1205.6055

zbMATH Keywords

isotonic regression

Mathematics Subject Classification ID

Related Items (5)

Comparison of cumulative incidence functions of current status competing risks data with discrete observation times ⋮ Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure ⋮ Circumventing superefficiency: an effective strategy for distributed computing in non-standard problems ⋮ Non-parametric maximum likelihood estimation of interval-censored failure time data subject to misclassification ⋮ Adaptive Bayesian inference for current status data on a grid

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A general asymptotic scheme for inference under order restrictions
• Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure
• On differentiable functionals
• Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model
• Cube root asymptotics
• Inconsistency of bootstrap: the Grenander estimator
• Estimation from current-status data in continuous time
• The asymptotic behavior of monotone regression estimates
• Asymptotic distributions of slope-of-greatest-convex-minorant estimators
• Estimating a smooth monotone regression function
• Two estimators of the mean of a counting process with panel count data.
• Likelihood ratio tests for monotone functions.
• Likelihood based inference for monotone response models
• A User's Guide to Measure Theoretic Probability
• Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times
• A pseudolikelihood method for analyzing interval censored data
• Asymptotically minimax estimation of concave and convex distribution functions
• Asymptotic properties of the GMLE in the case 1 interval-censorship model with discrete inspection times
• Smooth estimation of a monotone density
• Consistency of the GMLE with Mixed Case Interval‐Censored Data
• On the Bootstrap of the Maximum Score Estimator
• Confidence Intervals for Current Status Data
• Asymptotic analysis of isotonic estimation for grouped data

This page was built for publication: Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure