Nonparametric Bayes inference for concave distribution functions

DOI10.1111/1467-9574.04600zbMath1076.62518OpenAlexW2143296131WikidataQ57394031 ScholiaQ57394031MaRDI QIDQ4469547

Martin B. Hansen, Steffen L. Lauritzen

Publication date: 15 June 2004

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9574.04600

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian problems; characterization of Bayes procedures (62C10) Nonparametric inference (62G99)

Related Items (8)

The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective ⋮ The selection of the number of terms in an orthogonal series cumulative function estimator ⋮ The total time on test transform and the decreasing percentile residual life aging notion ⋮ Bayesian Semiparametric Modelling in Quantile Regression ⋮ Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data ⋮ Variation of the expectation and quantiles of the mixture of ordered distributions under imprecise choice of prior ⋮ Sharp bounds on distribution functions and expectations of mixtures of ordered families of distributions ⋮ Bayesian semiparametric modeling and inference with mixtures of~symmetric distributions

Uses Software

• MIM

Cites Work

• MIM
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Bayesian nonparametric methods for data from a unimodal density
• Bayesian Nonparametric Inference for Random Distributions and Related Functions
• Introduction to Graphical Modelling
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