Matthijs Hollanders
@matthollanders.bsky.social
Quantitative ecology, statistics, wildlife, field herping.
Post-doctoral Research Fellow @ U of Canberra
Consultant @ Quantecol, https://quantecol.com.au
Wildlife tour guide @ Australian Wildlife Encounters, https://www.australianwildlifeencounters.com
Post-doctoral Research Fellow @ U of Canberra
Consultant @ Quantecol, https://quantecol.com.au
Wildlife tour guide @ Australian Wildlife Encounters, https://www.australianwildlifeencounters.com
In (Gaussian) linear models, we usually put normal priors for regression coefficients. How do we feel about putting gamma(a, a) priors in something like Poisson regression? Using rates for rates seems nice; the geometric means are still 1, meaning the priors are centered on no multiplicative effects
December 18, 2025 at 1:13 AM
In (Gaussian) linear models, we usually put normal priors for regression coefficients. How do we feel about putting gamma(a, a) priors in something like Poisson regression? Using rates for rates seems nice; the geometric means are still 1, meaning the priors are centered on no multiplicative effects
I can’t stand that online journals can’t format equations properly.
May 29, 2025 at 8:37 PM
I can’t stand that online journals can’t format equations properly.
Hey #stats people, what do we think about interpreting coefficients in cloglog binomial regressions? Since everyone hates odds ratios I wonder if interpreting hazard ratios is easier.
May 13, 2025 at 11:03 AM
Hey #stats people, what do we think about interpreting coefficients in cloglog binomial regressions? Since everyone hates odds ratios I wonder if interpreting hazard ratios is easier.
Why do we peer review for free?
May 1, 2025 at 6:43 AM
Why do we peer review for free?
I need some help with parameterising a latent simplex, so a set of latent probabilities that sum to 1. Can anyone have a yarn?
April 3, 2025 at 5:39 AM
I need some help with parameterising a latent simplex, so a set of latent probabilities that sum to 1. Can anyone have a yarn?
Hazard rates FTW 🎉
By default, mark-recapture models parameterise the survival process with survival probabilities. This is unfortunate, because logit-linear survival functions aren't time invariant, and you can't just exponentiate multistate transition probabilities like you can survival. Instead, we should... 1/2
April 2, 2025 at 10:22 AM
Hazard rates FTW 🎉
brms is one of the most amazing R packages ever. Nevertheless I can't get myself to use it for my own work because nothing beats coding up your own models where you have ultimate control and insight into what's going on. There remains a "black box" element unless you are deeply familiar with it.
March 29, 2025 at 11:48 PM
brms is one of the most amazing R packages ever. Nevertheless I can't get myself to use it for my own work because nothing beats coding up your own models where you have ultimate control and insight into what's going on. There remains a "black box" element unless you are deeply familiar with it.
Working 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. 😮💨
March 17, 2025 at 3:42 AM
Working 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. 😮💨
Reposted by Matthijs Hollanders
We just updated our HMM blog by applying the backward sampling algorithm to recover the posterior distributions of latent states. Check it out!
quantecol.com.au/blog/hmm-in-...
quantecol.com.au/blog/hmm-in-...
Ecological Modeling in Stan
quantecol.com.au
February 24, 2025 at 10:38 AM
We just updated our HMM blog by applying the backward sampling algorithm to recover the posterior distributions of latent states. Check it out!
quantecol.com.au/blog/hmm-in-...
quantecol.com.au/blog/hmm-in-...
Launched a bsky page for the ecological stats consultancy, give us a follow!
Quantecol is on Bluesky! We are a statistical consultancy specialised in (but not limited to) quantitative ecology. We also blog about ecological statistics, with our latest post being about fitting various ecological models in Stan. quantecol.com.au/blog/margina...
Quantecol - Marginalisation
quantecol.com.au
February 12, 2025 at 5:03 AM
Launched a bsky page for the ecological stats consultancy, give us a follow!
Those are good looking plots.
{tinyplot} 0.3.0 is out! 🚨
It's a lightweight #Rstats 📦 to draw beautiful and complex plots, using an ultra-simple and concise syntax.
This is a massive release! @gmcd.bsky.social @zeileis.org and I worked hard to add tons of new themes and plot types.
Check it out!
grantmcdermott.com/tinyplot/
It's a lightweight #Rstats 📦 to draw beautiful and complex plots, using an ultra-simple and concise syntax.
This is a massive release! @gmcd.bsky.social @zeileis.org and I worked hard to add tons of new themes and plot types.
Check it out!
grantmcdermott.com/tinyplot/
February 6, 2025 at 11:35 AM
Those are good looking plots.
Reposted by Matthijs Hollanders
Another video in my series on applied time series and forecasting with the {mvgam} #rstats 📦. This one introduces State Space hierarchical GAMs and GPs for tackling multivariate series youtu.be/2POK_FVwCHk?...
Time series in R and Stan using the mvgam package: hierarchical GAMs
YouTube video by Nicholas Clark
youtu.be
February 4, 2025 at 8:09 AM
Another video in my series on applied time series and forecasting with the {mvgam} #rstats 📦. This one introduces State Space hierarchical GAMs and GPs for tackling multivariate series youtu.be/2POK_FVwCHk?...
New blog post! I show how to marginalise discrete variables from Bayesian ecological models in Stan and how to recover their posterior distributions after estimation. I cover occupancy and N-mixture models using multiple parameterisations and model types. quantecol.com.au/blog/margina...
Quantecol - Marginalisation
quantecol.com.au
February 4, 2025 at 2:53 AM
New blog post! I show how to marginalise discrete variables from Bayesian ecological models in Stan and how to recover their posterior distributions after estimation. I cover occupancy and N-mixture models using multiple parameterisations and model types. quantecol.com.au/blog/margina...
I'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
@masonfidino.bsky.social
January 7, 2025 at 10:40 PM
I'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
@masonfidino.bsky.social
I’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.
January 1, 2025 at 4:21 AM
I’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.
Hey guys, how do you do posterior predictive checks for GPs?
November 27, 2024 at 4:11 AM
Hey guys, how do you do posterior predictive checks for GPs?
It’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.
November 17, 2024 at 9:30 PM
It’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.
I forgot about this app until just now. Might use my first post in a while to shill my blog, where I recently wrote a new post about using Gaussian processes for random temporal and/or site effects in (ecological) models.
quantecol.com.au/blog/gaussia...
quantecol.com.au/blog/gaussia...
Quantecol - Default to Gaussian processes
quantecol.com.au
November 12, 2024 at 3:24 AM
I forgot about this app until just now. Might use my first post in a while to shill my blog, where I recently wrote a new post about using Gaussian processes for random temporal and/or site effects in (ecological) models.
quantecol.com.au/blog/gaussia...
quantecol.com.au/blog/gaussia...
As a first post on Bluesky I'll shill our recently launched #statistics blog, where we'll be focusing on applied statistical ecology in particular. Our first post details a scalable method for fitting increasingly complex hidden Markov models in Stan. quantecol.com.au/blog/hmm-in-...
Quantecol - Ecological Modeling in Stan
May 5, 2024
quantecol.com.au
May 9, 2024 at 12:12 AM
As a first post on Bluesky I'll shill our recently launched #statistics blog, where we'll be focusing on applied statistical ecology in particular. Our first post details a scalable method for fitting increasingly complex hidden Markov models in Stan. quantecol.com.au/blog/hmm-in-...