- For all who use Bayesian hierarchical models, have a look at our new preprint, out now together with @linushof.bsky.social @nunobusch.bsky.social and @thorstenpachur.bsky.social osf.io/preprints/ps...
- If you’re estimating group-level means of constraint parameters, which are fitted with nonlinear transformations, beware that a common approach can produce biased estimates—especially with high individual variability. For constraint parameters, we often use nonlinear transformations...
- Looks and reads great, I especially like the concise figure! This is an important issue which is often overlooked, so the contribution will be useful for many modelers. 👍
- Just a remark regarding "The same incorrect computation appears in implementations of latent-trait multinomial processing tree models": The issue has been mentioned in the literature (shorturl.at/Ajx0W), and the R package TreeBUGS has the function probitInverse as a solution (shorturl.at/mRp1S).
- Still, it is worthwile to have a paper elaborating on this in detail!
- Thanks for the kind words. Glad to see that people already account for this in some packages. Not sure whether it helps a lot, but using the direct computations instead of using numerical integration may still speed up things a bit (about 20 times on my machine)Sep 23, 2025 15:39
- Unfortunately, for the variance on the probability scale, the speed up vanishes.
