Theory and computations for the Dirichlet process and related models: an overview

DOI10.1016/J.IJAR.2016.11.008zbMath1406.62029OpenAlexW2550389601MaRDI QIDQ505261

Publication date: 19 January 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2016.11.008

zbMATH Keywords

hierarchical model density estimation Bayesian nonparametric models conditional density estimation random probability distributions

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric estimation (62G05) Bayesian inference (62F15) Random measures (60G57)

Related Items (2)

Fast approximation of variational Bayes Dirichlet process mixture using the maximization-maximization algorithm ⋮ A tutorial on Dirichlet process mixture modeling

Uses Software

DPpackage

Cites Work

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