Numerical integration in logistic-normal models

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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

Jorge González, Francis Tuerlinckx, Paul De

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CSDA 2006 | Logistic-normal Models | Marginal Maximum Likelihood | Quadrature Points |

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Added	11 Dec 2010
Updated	11 Dec 2010
Type	Journal
Year	2006
Where	CSDA
Authors	Jorge González, Francis Tuerlinckx, Paul De Boeck, Ronald Cools

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Numerical integration in logistic-normal models

CSDA 2006 | Logistic-normal Models | Marginal Maximum Likelihood | Quadrature Points |

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