Ben Augustine

@bencaugustine.bsky.social

Ecological Statistics. I came for the charismatic megafauna and stayed for the problematic megamodels. Skeptic. github.com/benaug

OK, I think this is done cooking for now. Added examples of fitting several other jolly-seber data augmentation models using Gibbs updates for latent states instead of updating them conditionally. Read to of readme and then scroll down to "alternative data augmentation approaches". So fast!

GitHub - benaug/Jolly-Seber-N-Prior-DA: Jolly-Seber MCMC samplers using N-prior data augmentation

Jolly-Seber MCMC samplers using N-prior data augmentation - benaug/Jolly-Seber-N-Prior-DA

github.com

Three ways to fit the Schwarz-Arnason data augmentation model from Royle and Dorazio (2008). Original approach, marginalized, and (i think new) entry probabilities approach. Third was most efficient in limited comparison. It gets you a conjugate update for pi that marginalization breaks.

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Yea, OK, mixing can be fine with conditional version of SMR, too, with abundant telemetry data. Runs faster, so you can run more iterations per unit time. Poor mixing in conditional model more of an issue for abundance, survival, recruitment. Negbin obsmod here.

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Ben Augustine@bencaugustine.bsky.social · 2mo ago

With abundant telemetry data and patience, you can get acceptable (but still not good) mixing for yearly RSF movement parameters in open population SMR. At least when marginalizing out individual ID. Not sure if it's worth making a version for the conditional model where mixing already is not great

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With abundant telemetry data and patience, you can get acceptable (but still not good) mixing for yearly RSF movement parameters in open population SMR. At least when marginalizing out individual ID. Not sure if it's worth making a version for the conditional model where mixing already is not great

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Dusted off this model for group SCR with unknown group IDs. It is difficult to determine which updates are needed to fully explore the posterior, but currently works well with higher group D and smaller group sizes. But posterior bottlenecks otherwise. Need to see if I can alleviate those.

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Open population SMR scenario with marking effort only in years 1 and 3 out of 6. 60% of marks stay on until following year, 40% make it to 2nd year (unless animal dies), so marks persist into sighting only years.

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Messing around with Open SCR + telemetry survival. Here, Method A is live capture to deploy a collar, assumed to stay on for 2 years or until they die (starting simple). Method B is some generic capture recapture method, say hair snares. So hair snare in years 1,3,5, live cap in years 2,4.

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Leveled up this OpenPopSCR model with density covs in year 1 and RSF activity center relocation--runs faster, mixes better. Ran this in 1.5 hours. M=225, 5 years, 144 traps/year, 1156 habitat cells. Effective sample sizes: D.beta1 rsf.beta sigma.move 779.5270 397.6123 368.2466

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Looking for candidate motivating data sets for open population SCR methods. Need multiple years of capture-recapture data with concurrent telemetry collars where you have capture recapture data to explain how they were marked. Spatial IPM where telemetry informs survival.

Still not great mixing, but finding that open pop SCR dispersal scale parameters mix better if you don't keep the activity centers in the model for augmented individuals are not in the population and just propose a new s trajectory when proposing to turn them on

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The Chandler Clark Jolly Seber parameterization implies Poisson entries as M goes to infinity, but in practice we want to set M as low as we can get away with. This causes the variance in recruits to be less than Poisson variance and it shrinks through time. Here "slack" is M - N.super.

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I’m recruiting a PhD and MSC student for fall 2026 working on the movement ecology and conservation of Mexican spotted owls in SW forests and rocky canyonlands. Exciting partnership with Los Alamos National Laboratory. Great vibrant lab group, high impact research! 🦉 gavinmjones.com/opportunities/

Opportunities

***PhD and MSc openings – Movement ecology and conservation*** I will periodically support graduate students, postdocs, and other staff through the Biology Department at the University of New…

gavinmjones.com

If anyone goes through my phone after I die, they'll find a bunch of random pictures of code. I bet they will be baffled. Who would guess that I look for bugs in my code while falling asleep and email myself if I figure it out so I don't forget. When I do some of my best work!