A Hybrid Bayesian Laplacian Approach for Generalized Linear Mixed Models
暂无分享,去创建一个
[1] N. Breslow,et al. Bias Correction in Generalized Linear Mixed Models with Multiple Components of Dispersion , 1996 .
[2] J. Booth,et al. Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm , 1999 .
[3] Liang Zhu,et al. On fitting generalized linear mixed‐effects models for binary responses using different statistical packages , 2011, Statistics in medicine.
[4] R. Wolfinger,et al. Generalized linear mixed models a pseudo-likelihood approach , 1993 .
[5] Chuhsing Kate Hsiao,et al. Computation of reference Bayesian inference for variance components in longitudinal studies , 2008, Comput. Stat..
[6] Duncan C Thomas,et al. The use of hierarchical models for estimating relative risks of individual genetic variants: An application to a study of melanoma , 2008, Statistics in medicine.
[7] Mithat Gonen,et al. Diagnostic and Prognostic Value of [18F]Fluorodeoxyglucose Positron Emission Tomography for Recurrent Head and Neck Squamous Cell Carcinoma , 2002 .
[8] N. Breslow,et al. Approximate inference in generalized linear mixed models , 1993 .
[9] P. McCullagh,et al. Generalized Linear Models , 1992 .
[10] E. Demidenko,et al. Mixed Models: Theory and Applications (Wiley Series in Probability and Statistics) , 2004 .
[11] N. Breslow,et al. Bias correction in generalised linear mixed models with a single component of dispersion , 1995 .
[12] J. Pinheiro,et al. Efficient Laplacian and Adaptive Gaussian Quadrature Algorithms for Multilevel Generalized Linear Mixed Models , 2006 .
[13] M. Karim. Generalized Linear Models With Random Effects , 1991 .
[14] Scott L. Zeger,et al. Generalized linear models with random e ects: a Gibbs sampling approach , 1991 .
[15] Peter McCullagh,et al. Laplace Approximation of High Dimensional Integrals , 1995 .
[16] Dani Gamerman,et al. Sampling from the posterior distribution in generalized linear mixed models , 1997, Stat. Comput..
[17] Noreen Goldman,et al. An assessment of estimation procedures for multilevel models with binary responses , 1995 .
[18] D. Bates,et al. Approximations to the Log-Likelihood Function in the Nonlinear Mixed-Effects Model , 1995 .
[19] Anthony Y. C. Kuk,et al. Monte Carlo approximation through Gibbs output in generalized linear mixed models , 2005 .
[20] Colin B Begg,et al. Hierarchical Modeling for Estimating Relative Risks of Rare Genetic Variants: Properties of the Pseudo‐Likelihood Method , 2011, Biometrics.
[21] S. Raudenbush,et al. Maximum Likelihood for Generalized Linear Models with Nested Random Effects via High-Order, Multivariate Laplace Approximation , 2000 .
[22] H. Rue,et al. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations , 2009 .
[23] P. McCullagh,et al. Generalized Linear Models , 1984 .
[24] S L Zeger,et al. Generalized linear models with random effects; salamander mating revisited. , 1992, Biometrics.
[25] Harry Joe,et al. Accuracy of Laplace approximation for discrete response mixed models , 2008, Comput. Stat. Data Anal..
[26] Donald Hedeker,et al. Longitudinal Data Analysis , 2006 .