The conditional autoregressive wishart model for multivariate stock market volatility [PDF]
We propose a Conditional Autoregressive Wishart (CAW) model for the analysis of realized covariance matrices of asset returns. Our model assumes a generalized linear autoregressive moving average structure for the scale matrix of the Wishart distribution
Golosnoy, Vasyl +2 more
core
Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R. [PDF]
Behav Res Methods, 2021 Kumle L, Võ ML, Draschkow D.
europepmc +1 more source
Evaluation of the Usda Food Security Measure with Generalized Linear Mixed Models (An) [PDF]
Over the last decade, new information has been developed and collected to measure the extent of food insecurity and hunger in the United States. Common measurement of the phenomenon of hunger and food insecurity has become possible through efforts of the
Jensen, Helen H. +2 more
core
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data. [PDF]
BMC Bioinformatics, 2021 Bai W, Dong M, Li L, Feng C, Xu W.
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High performance implementation of the hierarchical likelihood for generalized linear mixed models: an application to estimate the potassium reference range in massive electronic health records datasets. [PDF]
BMC Med Res Methodol, 2021 Bologa CG +8 more
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Meta-analysis of Proportions Using Generalized Linear Mixed Models. [PDF]
Epidemiology, 2020 Lin L, Chu H.
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Inferential procedures for random effects in generalized linear mixed models. [PDF]
PLoS OneNing X, Hui FKC, Welsh A.
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Different approaches to characterize artificial breeding sites of Aedes aegypti using generalized linear mixed models. [PDF]
Infect Dis Poverty, 2020 Flaibani N +3 more
europepmc +1 more source
Generalized Linear Mixed Models with Gaussian Mixture Random Effects: Inference and Application. [PDF]
J Multivar Anal, 2020 Pan L, Li Y, He K, Li Y, Li Y.
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