Estimation of Dirichlet process priors with monotone missing data

DOI10.1080/10485252.2013.804074zbMath1416.62188OpenAlexW1996908194MaRDI QIDQ2863051

Lei Yang, Xianyi Wu

Publication date: 21 November 2013

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2013.804074

zbMATH Keywords

empirical BayesDirichlet process priorBayesian nonparametricmonotone missing dataconditional density estimate

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Bayesian inference (62F15) Random measures (60G57) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (2)

Polya tree priors and their estimation with multi-group data ⋮ Estimation of Poisson-Dirichlet parameters with monotone missing data

Cites Work

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• Contributions to the theory of Dirichlet processes
• Multivariate regression with consecutively added dependent variables
• Hierarchical Dirichlet Processes
• Bayesian Nonparametrics
• The central role of the propensity score in observational studies for causal effects
• Credibility and the Dirichlet process
• Analysis of Multivariate Monotone Missing Data by A Pseudolikelihood Method

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