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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Discrete Confidence
Published:
- Multivariate Copula Modeling
This R markdown is for Showcasing the continous gaussian copula in non-gaussian marginals.
Building Multivariate Models
Published:
- Multivariate Copula Modeling
This R markdown is for showcasing how one can use copulas to build cogntive computational multivariate models and what can be gained from it. With an example of decision making with confidence ratings.
Discrete Copulas
Published:
- Multivariate Copula Modeling
This R markdown is for Showcasing of mixed marginals (continous and discrete) with a gaussian copula.
Conditional Marginals
Published:
- Multivariate Copula Modeling
This R markdown is for Showcasing of continous non gaussian copula with conditional marginals
Continous Copulas
Published:
- Multivariate Copula Modeling
This R markdown is for Showcasing the continous gaussian copula in non-gaussian marginals.
Multivariate Normals
Published:
- Multivariate Copula Modeling
This R markdown is for explaining simple copula modeling in stan.
Multivariate Priors And Correlations
Published:
- Bayesian Workflow
This R introduces and expands on hierarchical modeling with variance co-variance matrices and multivariate distributions.
Distributions
Published:
- Bayesian Workflow
The following markdown is an insight into how i think about distributions and the use of these in statistical and computational modeling.
Parameter Recovery
Published:
- Bayesian Workflow
This R markdown is for conducting parameter recovery.
Hierarchical Models
Published:
- Bayesian Workflow
This R markdown is an introduction to fitting Hierarchical models in stan.
Diagnostics
Published:
- Bayesian Workflow
This R markdown document is an introduction of how to diagnose Stan models.
Priors
Published:
- Bayesian Workflow
This R markdown is for explaining priors in stan.
Model Fitting To Simulated Data
Published:
- Bayesian Workflow
This R markdown document showcases how one can fit models to simulated data in R and Stan.
Data Simulation
Published:
- Bayesian Workflow
This R markdown document gives an idea of how data simulation fits into the Bayesian workflow and how to perform this in R.
portfolio
publications
Thermosensory predictive coding underpins an illusion of pain
Published in Science Advances, 2024
Thermosensation, Thermal Grill Illusion, Probabilistic Learning, Uncertainty, Pain, Predictive Coding
Recommended citation: Ehmsen, J. F., Nikolova, N., Christensen, D. E., Banellis, L., Böhme, R. A., Brændholt, M., Courtin, A. S., Krænge, C. E., Mitchell, A. G., Sardeto Deolindo, C., Steenkjær, C. H., Vejlø, M., Mathys, C., Allen, M. G., & Fardo, F. (2025). Thermosensory predictive coding underpins an illusion of pain. Science Advances, 11(11), eadq0261. https://doi.org/10.1126/sciadv.adq0261.
Download Paper | GitHub
2025-01-08-Modelling perceptual uncertainty in a thermosensory illusion across the lifespan
Published in Pre-print, 2025
Computational modelling; Bayesian modelling; Multivariate behavioural analysis; Perceptual illusions; Paradoxical Heat Sensation; Thermosensation; Ageing.
Recommended citation: Ehmsen, J. F., Mitchell, A. G., Courtin, A. S., Krænge, C. E., Simonnet, C., & Fardo, F. (2025). Modelling perceptual uncertainty in a thermosensory illusion across the lifespan (p. 2025.07.10.664158). bioRxiv. https://doi.org/10.1101/2025.07.10.664158
Download Paper | GitHub
A Hierarchical Multivariate Copula-based Framework for Cognitive Modeling
Published in In Preparation, 2025
Copula, Multivariate, Hierarchical; Framework
Recommended citation:
Download Paper | GitHub
talks
Predictive Coding An Introduction
Published: