A novel Bayesian copula-based model for joint multi-type spatio-temporal epidemic dynamics, with MCMC inference and validation on simulated data plus European meningococcal incidence records.
Posterior predictive assessment of model fitness via realized discrepancies.Statistica sinica, pages 733–760
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Fuzzy reporting mechanisms in RNA-seq granular counts generically violate ignorability, requiring a hierarchical model to account for coarsening-not-at-random effects.
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Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
A novel Bayesian copula-based model for joint multi-type spatio-temporal epidemic dynamics, with MCMC inference and validation on simulated data plus European meningococcal incidence records.
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Non-ignorable fuzziness in granular counts: the case of RNA-seq data
Fuzzy reporting mechanisms in RNA-seq granular counts generically violate ignorability, requiring a hierarchical model to account for coarsening-not-at-random effects.