A Bayesian nonparametric model for white blood cells in patients with lower urinary tract symptoms

DOI10.1214/16-EJS1177zbMath1358.62085OpenAlexW2554427093MaRDI QIDQ502805

James Malone-Lee, William Barcella, Gianluca Baio, Maria De Iorio

Publication date: 11 January 2017

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1479287222

zbMATH Keywords

Dirichlet process mixture modelBayesian nonparametricclustering with covariateslower urinary tract symptoms (LUTS)random partition modelzero-inflated Poisson distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15) Stationary stochastic processes (60G10)

Related Items (2)

A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation ⋮ Calibrating covariate informed product partition models

This page was built for publication: A Bayesian nonparametric model for white blood cells in patients with lower urinary tract symptoms