Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data

DOI10.1214/20-BJPS496zbMath1477.62077arXiv1909.00625OpenAlexW3195730634MaRDI QIDQ2244845

Geurt Jongbloed, Lixue Pang, Frank H. van der Meulen

Publication date: 12 November 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.00625

zbMATH Keywords

Markov chain Monte CarloBayesian nonparametricsDirichlet processposterior consistencyshape constrained inference

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Monte Carlo methods (65C05)

Uses Software

• DPpackage

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Consistency of concave regression with an application to current-status data
• Nonparametric confidence intervals for monotone functions
• Estimation from current-status data in continuous time
• Two estimators of the mean of a counting process with panel count data.
• Bayesian nonparametrics
• Kullback Leibler property of kernel mixture priors in Bayesian density estimation
• A Bayesian analysis of some nonparametric problems
• Isotontic regression for interval censored survival data using an e-m algorithm
• Nonparametric Bayesian Estimation of Survival Curves from Incomplete Observations
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• Nonparametric Bayes inference for concave distribution functions
• Consistency of the GMLE with Mixed Case Interval‐Censored Data
• Fundamentals of Nonparametric Bayesian Inference
• Estimating a Unimodal Distribution From Interval-Censored Data
• Nonparametric Bayesian estimation from interval-censored data using Monte Carlo methods

This page was built for publication: Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data