Simulating longer vectors of correlated binary random variables via multinomial sampling
From MaRDI portal
Publication:1658344
DOI10.1016/j.csda.2017.04.002zbMath1464.62161OpenAlexW2305090462MaRDI QIDQ1658344
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/upennbiostat/art46
Related Items (3)
Simulating longer vectors of correlated binary random variables via multinomial sampling ⋮ High dimensional Bernoulli distributions: algebraic representation and applications ⋮ Representation of multivariate Bernoulli distributions with a given set of specified moments
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- On eliminating the asymptotic bias in the quasi-least squares estimate of the correlation parameter.
- An alternative approach to the analysis of longitudinal data via generalized estimating equations
- Simulating longer vectors of correlated binary random variables via multinomial sampling
- Generating Correlated Binary Variables with Complete Specification of the Joint Distribution
- A simple approach for generating correlated binary variates∗
- Methods for Generating Longitudinally Correlated Binary Data
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Maximum likelihood estimation of the parameters of the bivariate binomial distribution
- A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
- Analysis of Serially Correlated Data Using Quasi-Least Squares
- A comparison of methods for simulating correlated binary variables with specified marginal means and correlations
- Simulating dependent binary variables through multinomial sampling
- Quasi-Least Squares Regression
- Range of correlation matrices for dependent Bernoulli random variables
- A Note on the Simulation of Overdispersed Random Variables With Specified Marginal Means and Product Correlations
- Longitudinal Data Analysis
This page was built for publication: Simulating longer vectors of correlated binary random variables via multinomial sampling
