Nonparametric Bayesian methods in hierarchical models

DOI10.1016/0378-3758(94)00011-JzbMath0925.62136OpenAlexW2060826036WikidataQ105531959 ScholiaQ105531959MaRDI QIDQ1345550

Michael D. Escobar

Publication date: 8 November 1999

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)00011-j

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (3)

Semiparametric thurstonian models for recurrent choices: a Bayesian analysis ⋮ Nonparametric Bayesian modelling for item response ⋮ Bayesian quantile regression for hierarchical linear models

Uses Software

• AS 183

Cites Work

• Unnamed Item
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Prior distributions on spaces of probability measures
• A Bayesian analysis of some nonparametric problems
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation
• Empirical bayes estimates using the nonparametric maximum likelihood estimate for the priort
• Data Analysis Using Stein's Estimator and its Generalizations
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Estimating Normal Means with a Dirichlet Process Prior
• Bayesian Density Estimation and Inference Using Mixtures
• Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach

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