Aug 18, 2012 · Further, Tweedie compound Poisson mixed models involve an unknown variance function, which has a significant impact on hypothesis tests and ...
This study tackles the Bayesian Tweedie mixed-effects models via variational inference approaches via implicit models trained in an adversarial setting, ...
This paper presents several likelihood-based inferential methods for the Tweedie compound Poisson mixed model that enable estimation of the variance function ...
This paper presents several likelihood-based inferential methods for the Tweedie compound Poisson mixed model that enable estimation of the variance function ...
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The cplm package provides likelihood- based and Bayesian procedures for fitting common Tweedie compound Poisson linear models. In particular, models with ...
Under the Bayesian framework, this study proposes a Tweedie compound Poisson partial linear mixed model on the basis of Bayesian P-spline approximation to ...
The cplm package provides likelihood- based and Bayesian procedures for fitting common Tweedie compound Poisson linear models. In particular, models with ...
The cplm package provides likelihood-based and Bayesian procedures for fitting common Tweedie compound Poisson linear models. ... likelihood-based methods ...
Unsurprisingly, there has been little work (see Section 3 in Appendix) devoted to full-likelihood based inference on the Tweedie mixed model, let alone Bayesian ...
Likelihood-based and Bayesian methods for Tweedie compound Poisson linear mixed models ... Bayesian methods for Tweedie compound Poisson linear mixed models ...