Computationally efficient Monte Carlo EM algorithms for generalized linear mixed models

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.76, Iss.9, 2006-09, pp. : 817-828

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Computationally feasible estimation of the covariance structure in generalized linear mixed models

By Alam MD. Moudud Carling Kenneth

Journal of Statistical Computation and Simulation, Vol. 78, Iss. 12, 2008-01 ,pp. : 1227-1237

Taylor & Francis Ltd

Access to resources Recommend Favorite

An efficient Monte Carlo EM algorithm for Bayesian lasso

By Yuan J. Wei G.

Journal of Statistical Computation and Simulation, Vol. 84, Iss. 10, 2014-10 ,pp. : 2166-2186

Taylor & Francis Ltd

Access to resources Recommend Favorite

The Monte Carlo EM method for estimating multivariate tobit latent variable models

By Zhou X. C.

Journal of Statistical Computation and Simulation, Vol. 79, Iss. 9, 2009-09 ,pp. : 1095-1107

Taylor & Francis Ltd

Access to resources Recommend Favorite

Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm

Statistica Neerlandica, Vol. 69, Iss. 4, 2015-11 ,pp. : 419-441

John Wiley & Sons Inc

Access to resources Recommend Favorite

An efficient MCEM algorithm for fitting generalized linear mixed models for correlated binary data

By Tan M. Tian G. -L. Fang H. -B.

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 11, 2007-01 ,pp. : 929-943

Taylor & Francis Ltd

Access to resources Recommend Favorite