Distribution theory for hierarchical processes
type: Item
instance of: scholarly article
title: Distribution theory for hierarchical processes
zbMATH Open document ID: 1478.60151
DOI: 10.1214/17-AOS1678
author: Federico Camerlenghi
author: A. Lijoi
author: Peter Orbanz
author: I. Prünster
published in: The Annals of Statistics
publication date: 2019-03-14T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.aos/1543568582
Mathematics Subject Classification ID: 60G57
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 7036195
zbMATH Keywords: Bayesian nonparametrics
zbMATH Keywords: distribution theory
zbMATH Keywords: hierarchical processes
zbMATH Keywords: partition structure
zbMATH Keywords: posterior distribution
zbMATH Keywords: prediction
zbMATH Keywords: random measures
zbMATH Keywords: species sampling models
MaRDI profile type: Publication
cites work: 10.1162/jmlr.2003.3.4-5.993
cites work: Bayesian prediction with multiple-samples information
cites work: Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes
cites work: An Introduction to the Theory of Point Processes
cites work: Bayesian Non-Parametric Inference for Species Variety with a Two-Parameter Poisson–Dirichlet Process Prior
cites work: A Representation of Independent Increment Processes without Gaussian Components
cites work: Q5695526
cites work: Comparing Distributions by using Dependent Normalized Random-Measure Mixtures
cites work: Bayesian Poisson process partition calculus with an application to Bayesian Lévy moving averages
cites work: Poisson calculus for spatial neutral to the right processes
cites work: Posterior Analysis for Normalized Random Measures with Independent Increments
cites work: Probabilistic Symmetries and Invariance Principles
cites work: Completely random measures
cites work: The coalescent
cites work: Q5286671
cites work: Bayesian Nonparametric Estimation of the Probability of Discovering New Species
cites work: Controlling the Reinforcement in Bayesian Non-Parametric Mixture Models
cites work: Bayesian inference with dependent normalized completely random measures
cites work: Dependent mixture models: clustering and borrowing information
cites work: Bayesian nonparametric estimators derived from conditional Gibbs structures
cites work: Inference of global clusters from locally distributed data
cites work: Borrowing strengh in hierarchical Bayes: posterior concentration of the Dirichlet base measure
cites work: Combinatorial stochastic processes. Ecole d'Eté de Probabilités de Saint-Flour XXXII -- 2002.
cites work: The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
cites work: Distributional results for means of normalized random measures with independent increments
cites work: Hierarchical Dirichlet Processes
cites work: Miscellanea. Representations of Levy processes without Gaussian components
OpenAlex ID: W2902513987
Wikidata QID: Q128896041
description: scientific article; zbMATH DE number 7036195