A New Bayesian Foundation for Psychometric Network Modelling

Project Information

BAYESIAN P-NETS

Grant agreement ID: 101040876

DOI

10.3030/101040876

EC signature date 26 April 2022

Start date 1 September 2022

End date 31 August 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 499 991,00

EU contribution

€ 1 499 991,00

Coordinated by

UNIVERSITEIT VAN AMSTERDAM
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (7)

Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package

Author(s): K.B.S. Huth, S. Keetelaar, N. Sekulovski, D. van den Bergh, M. Marsman
Published in: advances.in/psychology, Issue 2, 2024, ISSN 2976-937X
Publisher: Advances.in
DOI: 10.31234/osf.io/8f72p

Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods

Author(s): Nikola Sekulovski, Sara Keetelaar, Karoline Huth, Eric-Jan Wagenmakers, Riet van Bork, Don van den Bergh, Maarten Marsman
Published in: Multivariate Behavioral Research, Issue 59, 2024, ISSN 0027-3171
Publisher: Informa UK Limited
DOI: 10.1080/00273171.2024.2345915

Sensitivity analysis of prior distributions in Bayesian graphical modeling: Guiding informed prior choices for conditional independence testing

Author(s): Nikola Sekulovski, Sara Keetelaar, Jonas Haslbeck, Maarten Marsman
Published in: advances.in/psychology, Issue 2, 2024, ISSN 2976-937X
Publisher: Advances.in
DOI: 10.56296/aip00016

Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model

Author(s): Sara Keetelaar
Published in: advances.in/psychology, Issue 2, 2024, ISSN 2976-937X
Publisher: Advances.in
DOI: 10.31234/osf.io/532hd

Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach

Author(s): Suzanne Hoogeveen; Denny Borsboom; Šimon Kucharský; Maarten Marsman; Dylan Molenaar; Jill de Ron; Nikola Sekulovski; Ingmar Visser; Michiel van Elk; Eric-Jan Wagenmakers
Published in: Royal Society Open Science, Vol 11, Iss 9 (2024), 2024, ISSN 2054-5703
Publisher: The Royal Society
DOI: 10.31234/osf.io/ajush

A Good check on the Bayes factor

Author(s): Nikola Sekulovski, Maarten Marsman, Eric-Jan Wagenmakers
Published in: Behavior Research Methods, 2024, ISSN 1554-3528
Publisher: Springer Science and Business Media LLC
DOI: 10.3758/s13428-024-02491-4

Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP

Author(s): Huth, K. B. S., de Ron, J., Goudriaan, A. E., Luigjes, J., Mohammadi, R., van Holst, R. J., Wagenmakers, E.-J., & Marsman, M.
Published in: Advances in Methods and Practices in Psychological Science, 2023, ISSN 2515-2459
Publisher: Sage
DOI: 10.31234/osf.io/ub5tc