Matthijs Hollanders @matthollanders.bsky.social · 29/08/2026Epic few days finding wildlife in the Top End. 020
Matthijs Hollanders @matthollanders.bsky.social · 01/08/2026Anyone ever use the geometric Poisson distribution? If I've implemented it correctly in Stan, it's giving me better fits than negative binomial according to PSIS-LOO-CV with a big count occupancy model. 2103
Matthijs Hollanders @matthollanders.bsky.social · 02/07/2026Wonder if something like this could work. STZ happening on the pre-ordered offsets might be sufficient for identifiability. Then multiply the ordered offsets by the scales. 100
Matthijs Hollanders @matthollanders.bsky.social · 01/07/2026All of this with hierarchical individual-level parameters (with stz vectors), which was the primary motivation. The model will shine with within-chain parallelisation over individuals. See this for ecological diffusion/Rayleigh step lengths, permitting unequal intervals. doi.org/10.1186/s404... 130
Matthijs Hollanders @matthollanders.bsky.social · 14/04/2026occARU accommodates site-level predictors for occupancy and detection and additionally site-by-survey level predictors for detection rates. Continuous, categorical, and ordinal predictors are currently supported. Model complexity is handled via global-local shrinkage priors. 4/n 100
Matthijs Hollanders @matthollanders.bsky.social · 14/04/2026occARU takes in standardised CamtrapDB data by default, optionally thins detections with a user-specific value, and aggregates observations to surveys of arbitrary lengths. This balances temporal resolution with computational demands. 3/n 100
Matthijs Hollanders @matthollanders.bsky.social · 14/04/2026occARU uses hierarchical multispecies Gaussian processes to infer spatial and temporal variation in detection rates, and estimates interspecific correlations in these processes. These effects are orthogonally projected to retain inference on fixed effects. 2/n 100
Matthijs Hollanders @matthollanders.bsky.social · 29/05/2025I can’t stand that online journals can’t format equations properly. 010
Matthijs Hollanders @matthollanders.bsky.social · 17/03/2025Working on a multisite/multistate/robust design Jolly-Seber model in Stan where I need to marginalise (1) the entry occasion of each individual and (2) the sub-area within each site where each individual enters. 😮💨 010
Matthijs Hollanders @matthollanders.bsky.social · 07/01/2025I've been looking at different parameterisations of multi-season occupancy models, and it seems that dynamic (with colonisation and emigration) and auto-logistic models aren't all that different. Auto-logistic might be preferred with \alpha being a sort of average log odds. @masonfidino.bsky.social 171
Matthijs Hollanders @matthollanders.bsky.social · 01/01/2025I’ve been enjoying a restful Christmas break, and one of the highlights was this python selecting a carefully placed tin stack to lay her eggs. 040
Matthijs Hollanders @matthollanders.bsky.social · 17/11/2024It’s hard to beat an afternoon of herping our Gondwana rainforests. Big coastal carpet python under tin and a gravid snake-tooth skink on the crawl were amongst the many finds over the weekend. 010