Numerical integration in logistic-normal models

Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented as an intractable integral over their distribution. Thus, numerical methods such as Gauss

• Type: Journal
• Year: 2006
• Where: CSDA
• Authors: Jorge González, Francis Tuerlinckx, Paul De Boeck, Ronald Cools
• Keywords: CSDA 2006, Logistic-normal Models, Marginal Maximum Likelihood, Quadrature Points