A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures
From MaRDI portal
Publication:5056984
DOI10.1080/00031305.2020.1816213OpenAlexW3082165296MaRDI QIDQ5056984
No author found.
Publication date: 14 December 2022
Published in: The American Statistician (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.14080
simulationcomputational efficiencyexchangeabledecaying-producthigh-dimensional correlated binary datastationary dependent
Related Items
Stochastic representation of FGM copulas using multivariate Bernoulli random variables, High-Dimensional Asymptotic Behavior of Inference Based on Gwas Summary Statistics, A new method to construct high-dimensional copulas with Bernoulli and Coxian-2 distributions
Uses Software
Cites Work
- Unnamed Item
- Variable Selection in High-Dimensional Multivariate Binary Data with Application to the Analysis of Microbial Community DNA Fingerprints
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Miscellanea. A note on generating correlated binary variables
- Modelling multivariate binary data with alternating logistic regressions
- A comparison of methods for simulating correlated binary variables with specified marginal means and correlations
- Quasi-Least Squares Regression
- A method for multivariate ordinal data generation given marginal distributions and correlations
- Range of correlation matrices for dependent Bernoulli random variables
- High Dimensional Multivariate Mixed Models for Binary Questionnaire Data
- A Note on the Simulation of Overdispersed Random Variables With Specified Marginal Means and Product Correlations