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Marwin Carmo

@marwincarmo.bsky.social
52 followers 164 following 11 posts

Quantitative Psychology PhD student at UC Davis. Doing Bayesian stuff and broadly interested in measurement discussions

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Reposted by Marwin Carmo
Rob Calver @robcalver.bsky.social · 02/07/2026
I am giving away a free copy of the #BayesianWorkflow book by @statmodeling.bsky.social, @avehtari.bsky.social, @rmcelreath.bsky.social et al!! Please like, repost, and follow to enter. I will randomly draw the winner next Weds July 8. 😀 routledge.com/9780367490140 #RStats #DataScience #Bayesian
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Marwin Carmo @marwincarmo.bsky.social · 24/03/2026
Our paper is out in JEBS! "Beyond Average Scores: Identification of Consistent and Inconsistent Academic Achievement in Grouping Units" is the first paper of my PhD research, and it has finally been published. doi.org/10.3102/1076...
doi.org
Beyond Average Scores: Identification of Consistent and Inconsistent Academic Achievement in Grouping Units - Marwin Carmo, Donald Williams, Philippe Rast, 2026
Research on academic performance typically revolves around average achievement scores of students or schools. Focusing solely on averages can miss important asp...
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Reposted by Marwin Carmo
Wes Bonifay @wesbonifay.bsky.social · 03/02/2026
Due date for proposals was Feb 1, but if you submit a proposal by Feb 15, we will add it to the stack. Please share this announcement!
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Reposted by Marwin Carmo
Eiko Fried @eikofried.bsky.social · 07/01/2026
After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...
eiko-fried.com
WARN-D machine learning competition is live » Eiko Fried
If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...
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Marwin Carmo @marwincarmo.bsky.social · 07/01/2026
One of my New Year's resolutions was to be more active on social media again. Why not begin telling my tiny audience about my R package that was recently accepted to CRAN? The goal of `ivd` is to facilitate random effects selection with a spike-and-slab prior on the scale part of MELSMs.
ivd R package logo
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Reposted by Marwin Carmo
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 06/01/2026
And we're live, Lecture A1 is online. Introduction to Bayesian workflow, generative models, estimands, estimators, estimates, error checking, beginnings of probability theory and Bayesian updating. www.youtube.com/watch?v=ztbY...
youtube.com
Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow
YouTube video by Richard McElreath
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Reposted by Marwin Carmo
Suryadyuti Baral @suryadyutibaral.bsky.social · 23/12/2025
Researchers study long developmental spans using accelerated longitudinal designs (ALDs). Fitting parametric growth or change score models imposes strong assumptions. We use functional data analysis to nonparametrically model ALDs in continuous time. Check out the preprint: osf.io/preprints/ps...
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Reposted by Marwin Carmo
Wes Bonifay @wesbonifay.bsky.social · 18/11/2025
Announcement: I am excited to be co-editing (with Li Cai) an upcoming Special Issue of the Journal of Mathematical Psychology on "Advances in Statistical Model Evaluation." Proposals due Feb 1. Details: www.sciencedirect.com/special-issu... Please repost! #quantpsych #mathpsych #philsci #statsky
Advances in Statistical Model Evaluation
Submission deadline: 31 December 2026
The Special Issue accepts theoretical, methodological, applied, and philosophically oriented research on frequentist, Bayesian, and information-theoretic advances in statistical model evaluation.Topics of interest for this call for papers include but are not restricted to:

• Methodological advances in fit assessment, parametric bootstrapping, cross-validation, and/or other frequentist model evaluation methods

• Methodological advances in prior and/or posterior predictive model checking, specification and use of informed priors, Bayes factors, and/or other Bayesian model evaluation

• Methodological advances in minimum description length, normalized maximum likelihood, and/or other information-theoretic model evaluation methods

• Practical applications and tutorials of advanced model evaluation methods

• Philosophy of science issues underlying statistical model evaluation

• Critiques/perspectives/commentaries on statistical model evaluation
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Reposted by Marwin Carmo
Aki Vehtari @avehtari.bsky.social · 03/11/2025
Now I'm also looking for a research software engineer to implement a pile of research results to R packages loo, posterior, bayesplot, projpred, priorsense, brms or/and Python packages ArviZ, Bambi and Kulprit. Apply by email with no specific deadline (see contact info at users.aalto.fi/~ave/)
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Marwin Carmo @marwincarmo.bsky.social · 19/03/2025
Amazing collection of resources in the replies! I'm really glad that the academic 'twitter' is still alive here and that I decided to get back to social media :)
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