Corpus ID: 236428714

Conditional Inference for Multivariate Generalised Linear Mixed Models

@inproceedings{Pelck2021ConditionalIF,
  title={Conditional Inference for Multivariate Generalised Linear Mixed Models},
  author={J. S. Pelck and R. Labouriau},
  year={2021}
}
We propose a method for inference in generalised linear mixed models (GLMMs) and several extensions of these models. First, we extend the GLMM by allowing the distribution of the random components to be non-Gaussian, that is, assuming an absolutely continuous distribution with respect to the Lebesgue measure that is symmetric around zero, unimodal and with finite moments up to fourth-order. Second, we allow the conditional distribution to follow a dispersion model instead of exponential… Expand

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