The LZIP: A Bayesian latent factor model for correlated zero‐inflated counts

DOI10.1111/biom.12558zbMath1366.62234OpenAlexW2462834343WikidataQ39632303 ScholiaQ39632303MaRDI QIDQ5347417

Brian Neelon, Dongjun Chung

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12558

zbMATH Keywords

Bayesian analysisdata augmentationlatent factor modelnegative multinomial distributioncancer genomicszero-inflated Poisson modellatent factor zero-inflated Poisson (LZIP) model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Graph-Assisted Inverse Regression for Count Data and Its Application to Sequencing Data ⋮ Zero-Inflated Poisson Models with Measurement Error in the Response ⋮ Zero-and-one-inflated Poisson regression model

Uses Software

• R
• pscl

Cites Work

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• Zero‐Altered and other Regression Models for Count Data with Added Zeros
• Bayesian latent variable models for mixed discrete outcomes