Stan embedded Laplace was a long project and happy that it's finally released. We are not competing with INLA and TMB software, as they are orders of magnitude faster and scale better with data size for models that you can implement with them 1/

do yourself a favor and search for something like "Pokémon" (something that was big in 2000 and is still big now). then do the same on Google It's amazing how much the Internet has changed - in many ways for the worse - and we don't even realize it

Here is a newly-accepted paper (at Methodology) discussing issues and unexpected behavior of WAIC and PSIS-LOO when applied to psychometric models. It is based on situations that I initially thought were bugs in blavaan, but they turned out not to be. (download link is at the bottom of the page)

arXiv📈🤖 Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations By Jamil, Rue

If you are teaching any kind of statistics, probability or modeling classes, you'll love this website. Contains dozens of interactive simulations of random processes, with sliders, different visualizat options, and full numeric log ouput: www.randomservices.org/random/apps/...

Researchers often treat ordinal variables as continuous. What if we could mimic this in an ordinal factor analysis/IRT model? We propose new identification constraints so that the latent variable goes from 1 to (# of ordered categories), with connections to treating ordinal variables as continuous.

Consider submitting a proposal to the (open access) Psychometrika special issue on Variable Selection for Complex Psychometric Data, with a proposal deadline of Jan 15. Full details:

Consider submitting a proposal to the (open access) Psychometrika special issue on Variable Selection for Complex Psychometric Data, with a proposal deadline of Jan 15. Full details:

A new semester is upon us! This time, I’m teaching Structural Equation Modeling. Want to follow along? Here you go: jonathantemplin.github.io/Structural-E... and www.youtube.com/playlist?lis... #StatModeling #SEM

Don’t miss out on short courses at IMPS 2025! We have 4 short courses to choose from. www.psychometricsociety.org/imps2025-sho... #IMPS2025 #Psychometrics #QuantitativePsychology #rstats

You want to fit structural equation models in Julia? No problem with the StructuralEquationModels.jl package. Ships with worked examples and tutorials on how to modify the objective function easily (e.g., adding a regularization penalty). Find our preprint here osf.io/preprints/ps...

📚😅🎉 Yay!! I just submitted the complete manuscript of my upcoming book to the publisher! Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies. Read it for free @ marginaleffects.com #RStats #PyData

Looks like an interesting paper:

CmdStanR v 0.9.0 released! According to Andrew Johnson, this should make Windows installation easier plus many other improvements and bug fixes discourse.mc-stan.org/t/cmdstanr-v... #Bayesian #MCMC

Huzzah! Great news for psychometric software! Psychometrika now accepts software submissions under "Applications and Case Studies" AND software reviews in their expanded Review Section. This dual recognition elevates the status of programming in the field. #psychometrics #OpenScience

Here is a new post providing some intuition about the proportional odds restriction in ordinal regression models. Maybe you, or your LLM, will find it useful.

Fellow probabilistic programmers I came up with a parameterization for a Cholesky factor of correlation matrices that looks good. I'm asking to test and see if it works well for you discourse.mc-stan.org/t/updated-ch... #rstats #statistics #bayesian

{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/

If you know simulation based calibration checking (SBC), you will enjoy our new paper "Posterior SBC: Simulation-Based Calibration Checking Conditional on Data" with Teemu Säilynoja, @marvinschmitt.com and @paulbuerkner.com arxiv.org/abs/2502.03279 1/7

The Psychometric Society invites IMPS 2024 presenters to submit manuscripts to the 2024 Proceedings. Intent to Submit Deadline: February 14, 2025 Manuscript Deadline: March 21, 2025 www.psychometricsociety.org/imps2024-pro... #psychometricsociety #psychometrics #quantitativepsychology

You think Jacobian and Hessian matrices are prohibitively expensive to compute on your problem? Our latest preprint with @gdalle.bsky.social might change your mind! arxiv.org/abs/2501.17737 🧵1/8

Now out in PNAS, we provide a conceptual framework for assessing replication decisions and replication reform. Do you view the scientific literature as a "book of truths" or a "book of conversations"? www.pnas.org/doi/abs/10.1... #philsci #science #SciSci #Metascience

Call for Abstracts for IMPS 2025 The Psychometric Society Invites You to Submit an Abstract for IMPS 2025! The abstract submission portal is scheduled to open Jan 29, 2025 Please see the society website for details: www.psychometricsociety.org/post/imps-20...

Our friend and colleague Fritz Leisch died in April last year. In a new contribution to The R Journal we honor Fritz and commemorate his many contributions to science in general and to the R community in particular. #rstats journal.r-project.org/articles/RJ-...

I am so proud of the Psychometric Society having the courage to transition Psychometrika to Open Access. Practically all APCs are covered by TAs (see bit.ly/3NiAy6T) and for authors not covered will be waived! Support open science for everybody, send your best work to Psychometrika at bit.ly/4eXTvYp

New preprint with @winterstat.bsky.social and Ellen Fitzsimmons on ordinal factor analysis, where the latent variables are scaled so that they generally take values from 1 to # of ordered categories. The scaling is intuitive because it is what you use when you treat ordinal variables as continuous.

OK, here is a very rough draft of a tutorial for #Bayesian #SEM using #brms for #rstats. It needs work, polish, has a lot of questions in it, and I need to add a references section. But, I think a lot of folk will find this useful, so.... jebyrnes.github.io/bayesian_sem... (use issues for comments!)

2. Frontiers for Young Minds Now this is an excellent initiative. If you haven't heard of this, researchers write papers targeted at kids or teenagers. But the kicker is that your target audience co-peer reviews the paper! Usually, this is done collectively as a science class

working extra hard on more administrative tasks so that I can clear time to properly read this - looks very interesting!! arxiv.org/abs/2412.07999 'Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression' - Holden Lee, Kexin Zhang

Super stoked to announce that {greta} version 0.5.0 is now on CRAN! Thank you to Nick Golding for making this release happen, and for his continued support, I learnt a lot! Some features I'm really excited about: - Now uses Tensorflow 2.0 (which involved a heavy refactor of internals) - […]

Deck.blue is good, you should check it out

Jorgensen & Garnier-Villarreal have a helpful paper showing several failures with "small-variance priors" in Bayesian SEM doi.org/10.1007/978-... These priors will fail for the types of misspecification we create in simulation studies, wrote a blogpost: www.jamesuanhoro.com/post/2024/11...

I recently got to work on a fun chapter, and the preprint is now available: arxiv.org/abs/2411.04260 We provide intuitions, examples, and recommendations for running MCMC in a world where GPUs and autodiff exist (like this world!)

Here is John Alexander Silva Díaz's latest simulation study on how SEM forest perform finding omitted influential covariates in a SEM: www.tandfonline.com/doi/full/10.... (image: CC4.0 by the original authors)

Our Introduction to Bayesian Data Analysis for Cognitive Science (with Nicenboim and Schad) is now in production with CRC Press. It will remain freely available here: bruno.nicenboim.me/bayescogsci/

Along the way I translated their causal graphs into corresponding variate-covariate models (betanalpha.github.io/assets/case_...), only without forcing specific linear regression structural assumptions. In my option this makes the role of the infamous “U” variable much less mysterious.

Our Python library BayesFlow implements methods for amortized Bayesian inference. You first train a neural network on simulated data. Then you obtain posterior inference on any real data almost instantly. Check out the dev branch for our new backend and user interface: github.com/bayesflow-or...

I think some people on here have strong opinions about the best chalk for writing equations. Could somebody help a person who is accustomed to using whatever chalk happens to be laying around?

The latest `brms` CRAN release added support for `priorsense` for easy prior and likelihood sensitivity analysis doi.org/10.1007/s112... ``` > fit |> powerscale_plot_dens(variable='b_doseg', help_text=FALSE) + labs(x='Dose (g) coefficient', y=NULL) ``` #Bayesian #rstats

🚨 New working paper about examining exam results #rstats 📈 Infer student abilities and exercise difficulties with #psychometric models ✅ Detect and interpret differential effects of exercises in subgroups of an introductory #math exam www.zeileis.org/news/exams/

I gave a 2-hour workshop on Structural Equation Modeling and Confirmatory Factor Analysis in lavaan for the Psych #rstats Club. the recording is available here: youtu.be/YrxvV8zlNLY?... Supported by @improvingpsych.org!

blavaan 0.5-6 was recently released to CRAN. It has always done Bayesian structural equation modeling, but in recent years we have added some functionality for ordinal observed variables and for two-level SEM (random intercepts). More info here:

After a great #StanCon2024, I've started a blog series on using copulas in Stan. This first post gives a quick introduction to what copulas are. I'll keep each post short but over time I hope to put together a repository of helpful content! bggj.is/posts/stan-c... #stats

ctsem 3.10.1 is on CRAN, mostly fixing a bug introduced last update when outcome variables are both continuous and binary, and including a function for improved visualisation of moderation effects. cran.r-project.org/web/packages... #psychology #rstats

If you want an effective color palette then don't try to get cute: just use one from colorbrewer2.org where all of the subtle work has already been done of you. If you're still tempted then read through all of kennethmoreland.com/color-advice/, and then still use ColorBrewer.

priorsense package for prior and likelihood sensitivity analysis is now on CRAN. It works with Stan (brms, rstan or cmdstanr) fits, or just posterior draws. See more in Noa Kallioinen's post at discourse.mc-stan.org/t/priorsense... #Bayes #MCMC #rstats

Some quantitative psychology (longitudinal emphasis) positions available with me at Uni Zurich from September on, rebleets appreciated! Postdoc: jobs.uzh.ch/offene-stell... PhD: jobs.uzh.ch/offene-stell...

Psychometrika will convert to gold open access in 2025. The new publisher, Cambridge, has agreements with many universities (including in the US) that make the open access possible. Anyone who cannot pay the APC will be waived. www.psychometricsociety.org/post/psychom...

Looks interesting: venpopov.com/posts/2024/i...

I love how when we first got the internet, Wikipedia was an "unreliable source" and now it's one of the last remaining websites that's actually fact checked