L.F.O. (Lucas) Vogels
Faculteit Economie en Bedrijfskunde
Sectie Business Analytics
Bezoekadres
- Plantage Muidergracht 12
Postadres
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Postbus 15953
1001 NL Amsterdam
Contactgegevens
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Publicaties
2025
- Mohammadi, A., Schoonhoven, M., Vogels, L. F. O., & Birbil, S. I. (2025). Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-Likelihood. Bayesian Analysis, 1. Advance online publication. https://doi.org/10.1214/25-BA1561
- Vogels, L., Mohammadi, R., Schoonhoven, M., Birbil, Ş. I., Dyrba, M., & Alzheimer's Disease Neuroimaging Initiative (2025). Modeling Alzheimer’s disease: Bayesian copula graphical model from demographic, cognitive, and neuroimaging data. Journal of Alzheimer's Disease, 108(1,supplement), S244-S257. https://doi.org/10.1177/13872877251337944
2024
Vogels, L., Mohammadi, R., Schoonhoven, M., & Birbil, S. I. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Journal of the American Statistical Association, 119(548), 3164-3182. https://doi.org/10.1080/01621459.2024.2395504 [details]
2024
- Vogels, L., Mohammadi, R., Schoonhoven, M. & Birbil, Ş. . (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Taylor & Francis. https://doi.org/10.6084/m9.figshare.26880600.v1
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Vogels, L., Mohammadi, R., Schoonhoven, M., & Birbil, S. I. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison. Journal of the American Statistical Association, 119(548), 3164-3182.