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07/06/2023
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
The increasing availability of high-dimensional, longitudinal measures o...
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03/15/2023
Translating predictive distributions into informative priors
When complex Bayesian models exhibit implausible behaviour, one solution...
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11/22/2021
Combining chains of Bayesian models with Markov melding
A challenge for practitioners of Bayesian inference is specifying a mode...
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09/28/2021
Interoperability of statistical models in pandemic preparedness: principles and reality
We present "interoperability" as a guiding framework for statistical mod...
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07/25/2020
A Bayesian framework for case-cohort Cox regression: application to dietary epidemiology
The case-cohort study design bypasses resource constraints by collecting...
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06/02/2020
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
Bayesian modelling enables us to accommodate complex forms of data and m...
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01/22/2020