Estimation in the probit normal model for binary outcomes using the SAEM algorithm

Computational Statistics and Data Analysis

Volumn 53, Issue 4, 2009, Pages 1350-1360

  Meza, Cristian ^a   Jaffrézic, Florence ^b   Foulley, Jean Louis ^b  

^a UNIVERSIDAD DE VALPARAÍSO   (Chile)

^b CEMAGREF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; BAYESIAN NETWORKS; CONVERGENCE OF NUMERICAL METHODS; INFERENCE ENGINES; MAXIMUM LIKELIHOOD; SYNTHETIC APERTURE SONAR;

BAYESIAN INFERENCES; EXPECTATION MAXIMIZATION (EM) ALGORITHMS; GENERAL CLASS; GENERALIZED LINEAR MIXED MODEL (GLMM); MONTE CARLO (MC); RANDOM EFFECTS; SAEM ALGORITHM; VARIANCE COMPONENTS; WINBUGS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 58549090692     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.11.024     Document Type: Article

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