A flexible multivariate model for high-dimensional correlated count data

DOI10.1186/s40488-021-00119-yzbMath1465.62089OpenAlexW3165263264MaRDI QIDQ2040916

Alexander D. Knudson, Tomasz J. Kozubowski, A. Grant Schissler, Anna K. Panorska

Publication date: 14 July 2021

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-021-00119-y

zbMATH Keywords

copulanegative binomial distributiondistribution theorymixed Poisson distributionmultivariate count databig data applicationsgamma-Poisson hierarchyhigh-dimensional multivariate simulationRNA-sequencing data

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Uses Software

• GenOrd

Cites Work

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• An introduction to copulas.
• Copula-Based Models for Multivariate Discrete Response Data
• Simulating dependent discrete data
• A Practical Way for Computing Approximate Lower and Upper Correlation Bounds
• Initialization for NORTA: Generation of Random Vectors with Specified Marginals and Correlations
• Generating correlated random vector involving discrete variables
• Correlations and Copulas for Decision and Risk Analysis
• Mixed Poisson Distributions
• An R package for the simulation of correlated discrete variables
• Matching a correlation coefficient by a Gaussian copula
• Modeling Multivariate Count Data Using Copulas

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