Estimation in Dirichlet random effects models
From MaRDI portal
Publication:2380094
DOI10.1214/09-AOS731zbMath1183.62034arXiv1002.4756OpenAlexW3104600419MaRDI QIDQ2380094
George Casella, Minjung Kyung, Jeff Gill
Publication date: 24 March 2010
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1002.4756
Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Point estimation (62F10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Parametric inference (62F99) Nonparametric inference (62G99)
Related Items
A Computational Bayesian Method for Generalized Semiparametric Regression Models, On selecting a prior for the precision parameter of Dirichlet process mixture models, Analysis of binary longitudinal data with time-varying effects, Sampling schemes for generalized linear Dirichlet process random effects models, Cluster analysis, model selection, and prior distributions on models, Selecting the precision parameter prior in Dirichlet process mixture models, Semiparametric Bayesian hierarchical models for heterogeneous population in nonlinear mixed effect model: application to gastric emptying studies, Bayesian Fourier clustering of gene expression data, Estimation of regression vectors in linear mixed models with Dirichlet process random effects, Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity, Topics on Dynamic Panel Data Models with Random Effects Using Semi-Parametric Bayesian Approach, Semi-parametric Bayesian estimation of mixed-effects models using the multivariate skew-normal distribution, Incorporating heterogeneity and macroeconomic variables into multi-state delinquency models for credit cards, Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics, Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times, New findings from terrorism data: Dirichlet process random-effects models for latent groups, Joint Clustering With Correlated Variables
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sampling schemes for generalized linear Dirichlet process random effects models
- On a class of Bayesian nonparametric estimates: I. Density estimates
- Bayesian nonparametric estimation of the median. I: Computation of the estimates
- Bayesian nonparametric estimation of the median. II: Asymptotic properties of the estimates
- On the consistency of Bayes estimates
- Product partition models for change point problems
- Consistent semiparametric Bayesian inference about a location parameter.
- Ferguson distributions via Polya urn schemes
- Ordering and improving the performance of Monte Carlo Markov chains.
- Nonparametric hierarchical Bayes via sequential imputations
- Bayesian nonparametric estimation for incomplete data via successive substitution sampling
- A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms
- A Bayesian analysis of some nonparametric problems
- Contributions to the theory of Dirichlet processes
- Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior
- Clustering Using Objective Functions and Stochastic Search
- Generalized Linear Models for Small-Area Estimation
- Product Partition Models for Normal Means
- Dirichlet Process Mixed Generalized Linear Models
- Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics
- INFERENCE IN DIRICHLET PROCESS MIXED GENERALIZED LINEAR MODELS BY USING MONTE CARLO EM
- Bayesian Clustering and Product Partition Models
- Approximate Inference in Generalized Linear Mixed Models
- Bayesian Density Estimation and Inference Using Mixtures
- Nonparametric Priors for Ordinal Bayesian Social Science Models: Specification and Estimation
- Bayesian Analysis of Binary and Polychotomous Response Data
- Semiparametric Analysis of Two‐Level Bivariate Binary Data
- On Bayes procedures
- A Bayesian Semiparametric Model for Random-Effects Meta-Analysis