philipparnamets
Cognitive scientist interested in social learning, morality, and preference formation. Research at Karolinska Institutet, Sweden.
- Reposted by philipparnametsas I'm revising my course materials, I keep stumbling upon cool @mc-stan.org developments. Current favorites: 1. your model has funnels and you exhausted reparametrization ideas: metric = "dense_e" makes your HMC learn about covariance btw parameters. Sloooow, but effective! 1/
- Reposted by philipparnamets
Seven-parameter drift-diffusion pdfs and cdfs now in Stan statmodeling.stat.columbia.edu/2025/12/11/s... - New paper led by @alexandertagesson.bsky.social Increasing empathy through brief interventions using brief motivational vignette does not work in five both conceptual and direct replications, suggesting limitations to those methods compared to what previous findings may have led us to believe.
- Happy to be part of this project! Check out this new publication :
- Published today: One of the biggest #science #communication studies to date. We asked 71,922 people in 68 countries how they #engage with information about #science and combined the data with several country-level factors: journals.sagepub.com/doi/10.1177/... #OpenAccess
- Reposted by philipparnametsTwo new preprints on multilevel HMMs! Time series data is now pervasive in psychology and new methods are needed to model the dynamics in such data. Hidden Markov Models (HHMs) are powerful models for dynamics in which a system is switching between a number of discrete states.
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- Reposted by philipparnametsEver stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...
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