well done Lior.
There seems a subset of scientists who don’t understand
probability and are convinced that statisticians are just pedantic killjoys determined to take their significant results away from them.

observation deviates from what we would expect at the given timepoint. The coefficients beta[i] are equal across timepoints by design, so this does not equate them per se. Asparouhov et al. in the original DSEM paper are a bit vague about this, but I think what we do what they call latent centering.

Thanks! The term b[i]x[i,t-1] is there to catch up systematic variations with some time-varying predictor x[i,t-1]. We subtract it for the same reason as we subtract alpha_i, namely to get rid of systematic variation. Hence, what's left inside the parentheses is the residual, i.e., how much the

The No-U-Turn Sampler, utilizing Hamiltonian Monte Carlo, was very efficient for estimating these models, and the paper is accompanied by annotated Stan code which practitioners can modify to their needs.
Out in Multivariate Behavioral Research today, open access:
doi.org/10.1080/0027...

Ecological momentary assessment data are everywhere these days. In psychology, dynamic structural equation models (DSEMs) are particularly attractive for analyzing such data. In this paper Ethan McCormick and I show how you can easily incorporate nonlinear trends and cycles using splines.

Would could possibly go wrong with using AI to read raw data to generate graphs that will put straight into articles for publication in scientific journals? 🤷‍♂️

and then do some tiny changes that removed the issue and kept the package on CRAN. Morale of the story: CRAN rules are there for a reason, and it's possible to figure things out if you just try obsessively enough.
Now time for resubmission!

Oh joy! BDR found a subtle warning on Fedora with gcc15 with very strict compiler flags that threatened to kick my galamm #rstats pkg out of CRAN by Saturday. After a week of headscratching I managed to set up my old Ubuntu laptop to reproduce the error :-)

Very interesting from @VidalDidac - MUCH higher reliability for structural neuroimaging measures with longer follow-up time rather than more follow-ups or higher n. 2.-year follow-up requires 4 times higher n than 6-year follow up. @LCBC_UiO direct.mit.edu/imag/article...

Tomorrow last day for early-bird registration to PrefStat 2025, 2nd International Summer School on Preference Learning for Ranking and Ordinal Data (www.prefstat.org)! In Oslo, 30.06 – 04.07. Register here: www.integreat.no/events/publi...
@valeriavitelli.bsky.social @ocbe.bsky.social @uio.no

I think I can check all the boxes. Feel free to DM me if you still need this.

Wow!

og dermed får mindre frihet til å disponere egen inntekt og det blir mindre penger å investere i teknologi som vi trenger for å kunne konkurrere med USA og Kina. Jeg er redd vi ikke er noe bedre enn resten av Europa, og det er synd. Jeg synes denne beskriver det bra: www.politico.eu/article/euro...

Jeg tror Norge lider av en forestilling om at velferdsstaten ikke bare skal være et sikkerhetsnett, men en forsikring som skal ordne alt, og at alt kan løses med større offentlig sektor. Strømstøtten og sykelønnsordning er gode eksempler. Prisen er høy, fordi alle må betale forsikringspremie (skatt)

it's almost a black box algorithm, self-tuning with minimal user input. Rankings remain tricky combinatorial objects so it's still quite computationally heavy, but we hope this is a step forward in making Mallows models more practically applicable.

arxiv.org/abs/2412.13644

so here we've instead developed nested sequential Monte Carlo algoriths, SMC^2 among friends. We derive the algorithms for a very general case of the Mallows model, and test them on complete rankings, top-3 rankings, pairwise preferences, and clustering. An additional advantage of SMC^2 is that

Preprint! The Bayesian Mallows model is a very flexible model for analyzing rank and preference data, and has been applied across a large number of domains. In many cases, however, the data naturally arrive sequentially in time. Existing Metropolis-Hastings algorithms scale poorly in this case

Thanks! I'll check it out.

Does anyone know of a good quantitative methods textbook for the social sciences? Ideally not too tied to a given analysis program, and not too much ANOVA stuff. I'm teaching a course which covers experimental design, multiple regression, mixed models.

Thanks!

Yes, I'd like to be added

Just discovred quarto-webr, a quite amazing tool which lets you interactively write and evaluate R code within an html document. Live coding when teaching and presenting has never been easier!

Hello everyone,
I'm Lea Michel, a 3-year PhD working at the Donders Institute with @rogierk.bsky.social on the interaction between grey and white matter in supporting cognitive development during childhood/adolescence.
I'm also invested in science communication, open science and greener research 🌱

These results look better than one would expect, right? At least when coming from psychology.