7 citations
- King's College LondonGB2 papers
- Radboud University NijmegenNL2 papers
- Amsterdam University Medical CentersNL1 paper
- Centre de Recherche en Neurosciences de LyonFR1 paper
- Centre Hospitalier Le VinatierFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Czech Academy of Sciences, Institute of PsychologyCZ1 paper
- Decision ResearchUS1 paper
- Delft University of TechnologyNL1 paper
- Digital Catapult (United Kingdom)GB1 paper
- Eötvös Loránd UniversityHU1 paper
- Exponent (United States)US1 paper
5 papers
Towards participatory multi-modeling for policy support across domains and scales: a systematic procedure for integral multi-model design
Vittorio Nespeca, Rick Quax, Marcel G. M. Olde Rikkert +9
Policymaking for complex challenges such as pandemics necessitates the consideration of intricate implications across multiple domains and scales. Computational models can support…
Fair coins tend to land on the same side they started: Evidence from 350,757 flips
František Bartoš, Alexandra Sarafoglou, Henrik R. Godmann +47
Many people have flipped coins but few have stopped to ponder the statistical and physical intricacies of the process. We collected coin flips to test the counterintuit…
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
Walter Hernandez Cruz, Kamil Tylinski, Alastair Moore +6
Distributed Ledger Technology (DLT) faces increasing environmental scrutiny, particularly concerning the energy consumption of the Proof of Work (PoW) consensus mechanism and broad…
Group Analysis of Self-organizing Maps based on Functional MRI using Restricted Frechet Means
Arnaud P. Fournel, Emanuelle Reynaud, Michael J. Brammer +2
Studies of functional MRI data are increasingly concerned with the estimation of differences in spatio-temporal networks across groups of subjects or experimental conditions. Unsup…
Classification Loss Function for Parameter Ensembles in Bayesian Hierarchical Models
Cedric E. Ginestet, Nicky G. Best, Sylvia Richardson
Parameter ensembles or sets of point estimates constitute one of the cornerstones of modern statistical practice. This is especially the case in Bayesian hierarchical models, where…