Jonathan Koh
(Post-doctoral researcher in University of Bern, Switzerland)
【Title】
Estimating shared random effects between model components in Bayesian hierarchical frameworks
【Abstract】
Estimating shared random effects between model components can help reveal and interpret common unseen drivers of different facets of the response. This can increase parsimony and reduce estimation uncertainty, or tackle observation biases due to heterogeneity in sampling effort that would otherwise lead to biased statistical inferences. In this talk I will cover two main applications of this methodology, on modelling wildfire activity (Koh et al., 2023) and the first arrival date of migratory birds (Koh and Opitz, 2023).
