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Marginalising discrete variables in ecological models
Bayesian methods are popular for ecological modeling because of the flexibility afforded by software like JAGS, NIMBLE, and Stan. JAGS and NIMBLE are derivatives of the BUGS…
Dr. Matthijs Hollanders
Feb 4, 2025
Why you should default to Gaussian processes for random spatial and temporal effects
It is common to use random effects to capture heterogeneity in data that have been collected at spatial and/or temporal intervals. For example, counts of species or…
Dr. Matthijs Hollanders
Oct 9, 2024
A unified approach to ecological modeling in Stan
I updated the post to replace the Viterbi algorithm (which gives the most likely sequence of latent discrete states based on the highest probabilities) with the backward…
Dr. Matthijs Hollanders
May 5, 2024
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