Maarten Marsman
Assistant Professor at the University of Amsterdam
- Excited to lecture a full day on the Bayesian analysis of networks for the first time at the PsyNets Amsterdam workshop!
- Reposted by Maarten Marsman
How to donate to JASP (tax-deductable from the US) jasp-stats.org/2025/12/19/j... - Reposted by Maarten MarsmanAre you interested in developing your own module in #JASP? Join our free hackathon on 16-17 February 2026. More information and registration: jasp-stats.org/2025/11/21/a... @jaspstats.bsky.social
- Reposted by Maarten MarsmanDigiD blijft Nederlands en dus veilig. Dat verzekerde de staatssecretaris van Binnenlandse Zaken na het nieuws over de mogelijke overname van leverancier Solvinity. Die zou geen toegang hebben tot de dienst, maar daar is niets van waar. En straks kan Trump dus mogelijk ook meekijken.
- 🚀 Our paper on Bayes factor tests for the differences in networks (graphical models) in two independent groups is now online at Psychometrika: doi.org/10.1017/psy.... Of course, these methods are implemented in the bgms R package, which now also allows testing more than two independent groups.
- Reposted by Maarten MarsmanBamojax (Bayesian modelling with JAX) v0.3.10 is out! Next to increased support for distributions and bijectors, several marginal likelihood estimators are now available, such as bridge sampling and truncated harmonic mean estimation (THAMES). Check it out on github.com/UncertaintyI...!
- 🚀 bgms 0.1.6.0 is now on CRAN! New in this release: • NUTS & HMC sampling for bgm() + bgmCompare() • Parallel chains + reproducible runs via seed • Markov chain diagnostics (ESS, R-hat) • New summary(), print(), and coef() methods 🔗https://cran.r-project.org/web/packages/bgms/index.html
- Reposted by Maarten MarsmanExciting #rstats news for Bayesian model comparison: bridgesampling is finally ready to support cmdstanr, see screenshot. Help us by installing the development version of bridgesampling and letting us know if it works for your model(s): pak::pkg_install("quentingronau/bridgesampling#44")
- Reposted by Maarten MarsmanDe redactie verzweeg het feit dat de voorstellen van GL-Pvda volledig onderschreven wordt door het WRR-rapport Goede Zaken. Geen manipulatietechniek wordt geschuwd om de oppositie kapot te maken.
- Reposted by Maarten MarsmanFair coins tend to land on the same side they started: evidence from 350,757 flips. That's the title of our paper summarizing ~650 hours of coin-tossing experimentation just published in the Journal of the American Statistical Association. doi.org/10.1080/0162...
- Reposted by Maarten MarsmanNew paper with @richarddmorey.bsky.social now out in JASA, where we critically examine p-curve. Below is Richard’s excellent summary of the many poor statistical properties of p-curve (with link to paper). I wanted to add some conceptual issues that we also tackle in the paper.
- Paper drop, for anyone interested in #metascience, #statistics, or #metaanalysis! @clintin.bsky.social and I show in a new paper in JASA that the P-curve, a popular forensic meta-analysis method, has deeply undesirable statistical properties. www.tandfonline.com/doi/full/10.... 1/?
- This week, I had the pleasure of teaching the Bayesian approach to network analysis at the Network Psychometrics summer school at Lake Como School of Advanced Studies. Organized by Giulio Constantini, Michela Zambelli, and Semira Tagliabue with @briganti.bsky.social and @anastasiapsy.bsky.social…
- Reposted by Maarten MarsmanBen jij gedreven om psychische klachten te voorkomen voordat ze beginnen of terugkeren? Dan is dit promotietraject iets voor jou! Shift Left @Arkin @amsterdamumc.bsky.social lnkd.in/di4vWujy @uvapsychology.bsky.social
- Reposted by Maarten MarsmanHello world! We are a new company that provides support for organizations and industries who use the JASP open-source stats program. Check out our website www.jasp-services.com and our first blog post www.jasp-services.com/first-post/ Know companies using commercial stats software? Share this info!🙂
- Reposted by Maarten Marsman🚨 New preprint: A Stochastic Block Prior for Clustering in Graphical Models We introduce an SBM prior to detect/test clusters in Bayesian network models for binary & ordinal data. Includes R code & tutorial. 📄 osf.io/preprints/ps... 📚 Blog: www.nikolasekulovski.com/blog/post2/
- Reposted by Maarten Marsman[This post could not be retrieved]
- Reposted by Maarten MarsmanI am looking forward to expanding the scope of my professorship by combining cognitive and statistical modeling with LLMs😊 There will be two job openings for postdoc positions soon - one starting in September 2025 and another one a year later.
- 🚀 930.000 Euro für #Psychologie -Forschung: Prof. Daniel Heck nutzt #KI, um psychologische Theorien präziser zu machen. Mithilfe von #LLMs sollen unscharfe Begriffe in messbare Modelle übersetzt werden – ein Schritt zu besseren Experimenten & klareren Erkenntnissen #Forschung uni-marburg.de/gDNQIi
- I am excited to teach at the Summer School on Network Psychometrics this August in Como, Italy! Theory, methods, and hands-on R for analyzing cross-sectional and longitudinal data. Full information and application (deadline April 24th): ntps.lakecomoschool.org
- Reposted by Maarten MarsmanMy tutorial on Sequentual Monte Carlo for psychology and behavioural science is out now in Behavior Research Methods! Check it out at link.springer.com/article/10.3...
- Reposted by Maarten MarsmanAre psychometric networks sufficiently supported by data such that one can be confident when interpreting its results? We analysed 294 psychometric networks from 126 papers with the Bayesian approach to address this question @jmbh.bsky.social Sara Ruth van Holst @maartenmarsman.bsky.social 🧵
- Reposted by Maarten MarsmanEmotions are reactions to situations we encounter in daily life. In our new paper in Psych Review (psycnet.apa.org/fulltext/202...; with @oisinryan.bsky.social and @fdabl.bsky.social), we take a first step towards building a generative model for emotion dynamics based on this simple principle 1/4
- 🚨 New pre-print alert! 🚨 We introduce a Bayesian independent samples t test for comparing networks of binary and ordinal Variables. Curious why that matters for your next network analysis? 🧵 osf.io/preprints/os...
- What’s the ordinal Markov random field? 🤔 It’s a network model for binary and ordinal variables, like the Gaussian graphical model handles continuous data, and the Ising graphical model handles binary data. Read our earlier pre-print for more info: psyarxiv.com/ukwrf
- In this new work, we extend the ordinal Markov random field to compare two independent groups, modeling differences in category thresholds and pairwise interactions. We develop Bayes factor tests to contrast hypotheses of parameter differences and parameter equivalence. 📊
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View full threadThis is a collaborative effort with amazing colleagues: Lourens Waldorp, Nikola Sekulovski, and @jmbh.bsky.social. 🙌 Thanks to this team for their hard work in advancing Bayesian methods in network analysis!
- Reposted by Maarten MarsmanDo you need educational and psychological item response data to do your research? The IRW has 600 item response datasets (more coming!), distributed in a standardized format and ready for analysis.
