A Skew‐normal copula‐driven GLMM
From MaRDI portal
Publication:6064122
DOI10.1111/stan.12092zbMath1528.62038arXiv1707.09565MaRDI QIDQ6064122
Kalyan Das, Arusharka Sen, Mohamad Elmasri
Publication date: 12 December 2023
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.09565
Measures of association (correlation, canonical correlation, etc.) (62H20) Generalized linear models (logistic models) (62J12) Monte Carlo methods (65C05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
- Bayesian nonparametric inference for a multivariate copula function
- Estimation in nonlinear mixed-effects models using heavy-tailed distributions
- On the convergence properties of the EM algorithm
- On fundamental skew distributions
- Elliptical families and copulas: tilting and premium; capital allocation
- A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
- Maximum likelihood estimation via the ECM algorithm: A general framework
- A recursive algorithm for nonparametric analysis with missing data
- The multivariate skew-normal distribution
- An Estimation Method for the Semiparametric Mixed Effects Model
- On Parametrization of Multivariate Skew-Normal Distribution
This page was built for publication: A Skew‐normal copula‐driven GLMM