A Method for Combining Inference Across Related Nonparametric Bayesian Models

DOI10.1111/j.1467-9868.2004.05564.xzbMath1046.62053OpenAlexW2152824262MaRDI QIDQ4819025

Fernando A. Quintana, Gary L. Rosner, Peter Mueller

Publication date: 24 September 2004

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2004.05564.x

zbMATH Keywords

Dirichlet process hierarchical model meta-analysis dependence random functions

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Nonparametric inference (62G99)

Related Items

Dependent mixture models: clustering and borrowing information, Functional regression approximate Bayesian computation for Gaussian process density estimation, Random density functions with common atoms and pairwise dependence, Dependent mixtures of geometric weights priors, Bayesian inference with dependent normalized completely random measures, Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes, Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor, The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions, Bayesian learning of graph substructures, A Bayesian Nonparametric Test for Cross-Group Differences Relative to a Control, Dependent mixtures of Dirichlet processes, The local Dirichlet process, Non parametric Bayesian analysis of the two-sample problem with censoring, A vector of Dirichlet processes, Sparse covariance estimation in heterogeneous samples, Beta-product dependent Pitman-Yor processes for Bayesian inference, Bayesian hierarchically weighted finite mixture models for samples of distributions, Theory and computations for the Dirichlet process and related models: an overview, A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data, Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation, Bayesian Density Regression, Bayesian semiparametric inference for multivariate doubly-interval-censored data, Comparing Distributions by using Dependent Normalized Random-Measure Mixtures, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax, A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-popu\-la\-tion data, A Hierarchical Semiparametric Regression Model for Combining HIV‐1 Phylogenetic Analyses Using Iterative Reweighting Algorithms, Semiparametric Bayesian Classification with longitudinal Markers, Latent nested nonparametric priors (with discussion), Stick-breaking autoregressive processes, Bayesian Nonparametric Calibration and Combination of Predictive Distributions, On Bayesian nonparametric modelling of two correlated distributions, Some issues in nonparametric Bayesian modeling using species sampling models, A Bayesian nonparametric approach to test equating, A Bayesian nonparametric multiple testing procedure for comparing several treatments against a control, Effect on prediction when modeling covariates in Bayesian nonparametric models, The dependent Dirichlet process and related models, Bayesian nonparametric sparse VAR models, Dirichlet process and its developments: a survey, Measuring expectations in options markets: an application to the S&P500 index, A class of dependent Dirichlet processes via latent multinomial processes

Cites Work