Pircalabelu, E. & Artemiou, A.
The LassoPSVM approach for sufficient dimension reduction using principal projections (Under review)
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I am a Lecturer (Chargé de cours) at UC Louvain working at the Institute of Statistics, Biostatistics and Actuarial Sciences within LIDAM at the Faculty of Science.
Prior to moving at UC Louvain, I held a Visiting professor position at Ghent University affiliated with the Department of Applied Mathematics, Computer Science and Statistics within the Faculty of Sciences and a Postdoctoral position at KU Leuven affiliated with the ORSTAT department within the Faculty of Economics and Business.
My research focuses on: Models for high-dimensional data, Probabilistic graphical models, Social network models, Copula models and Information criteria.
I am currently teaching
Technical reports
Pircalabelu, E. & Artemiou, A.
Graph informed sufficient dimension reduction. (Under review)
Pircalabelu, E. & Claeskens, G.
Linear manifold modeling and graph estimation based on multivariate functional data. (In preparation)
Pircalabelu, E. & Mohammadi, A.
Functional connectivity estimation using informative prior knowledge. (In preparation)
Publications
Pircalabelu, E. & Claeskens, G. (2020).
"Community-Based Group Graphical Lasso", Journal of Machine Learning Research, 21(64), 1-32.
The final publication is available at https://www.jmlr.org/papers/v21/19-181.htmlPircalabelu, E., Claeskens, G. & Waldorp, L.J. (2019)
"Zoom-in/out joint graphical lasso for different coarseness scales." Journal of the Royal Statistical Society (C), 69(1), 47-67
The final publication is available at https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12378.An online supplement is available at https://rss.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Frssc.12378&file=rssc12378-sup-0001-Supinfo.pdf
Pircalabelu, E., Claeskens, G. & Gijbels, I. (2017).
"Copula directed acyclic graphs", Statistics and Computing, 27(1), 55-78
The final publication is available at http://link.springer.com/article/10.1007/s11222-015-9599-9Pircalabelu, E., Claeskens, G. & Waldorp, L.J. (2016) .
"Mixed scale joint graphical lasso", Biostatistics, 17(4), 793-806.
The final publication is available at http://biostatistics.oxfordjournals.org/content/early/2016/06/17/biostatistics.kxw025.full.pdf+htmlPircalabelu, E. & Claeskens, G. (2016).
"Focused model selection for social networks", Social Networks, 46, 76-86
The final publication is available at http://www.sciencedirect.com/science/article/pii/S0378873315301763Pircalabelu, E., Claeskens, G., Jahfari, S. & Waldorp, L.J. (2015).
"A focused information criterion for graphical models in fMRI connectivity with high-dimensional data", The Annals of Applied Statistics, 9(4), 2179-2214
The final publication is available at http://dx.doi.org/10.1214/15-AOAS882Pircalabelu, E., Claeskens, G. & Waldorp, L.J. (2015).
"A focused information criterion for graphical models", Statistics and Computing, 25(6), 1071-1092
The final publication is available at http://dx.doi.org/10.1007/s11222-014-9504-yProceedings
Pircalabelu, E., Claeskens, G., & Waldorp, L.J. (2017).
"Top-down joint graphical lasso."
Proceedings of the 32nd International Workshop on Statistical Modelling, July 2-7th 2017,
Groningen. University of Groningen. Pages 47-50.
The final publication is available at
https://iwsm2017.webhosting.rug.nl/IWSM_2017_V2.pdf
Pircalabelu, E., Claeskens, G., Jahfari, S. & Waldorp, L.J. (2014).
"Nodewise graphical modeling using the Focused Information Criterion for 'p larger than n' settings."
Proceedings of the 29th International Workshop on Statistical Modelling, July 14-18th 2014, Göttingen. Georg-August-Universität Göttingen. Pages 273-278.
The final publication is available at
http://www.statmod.org/files/proceedings/iwsm2014_proceedings_vol1.pdf
Book chapters
Claeskens, G., Pircalabelu, E. & Waldorp, L.J.
"Constructing Graphical Models via the Focused Information Criterion."
In: Lecture Notes in Statistics: Modeling and Stochastic Learning for Forecasting in High Dimension (2015).
Editors: A. Antoniadis, X. Brossat, J.-M. Poggi. Pages 55-78.
The final publication is available at link.springer.com via
http://www.springer.com/us/book/9783319187310
Involvement
As part of the open-science paradigme that UCLouvain strongly believes in, I am currently together with other colleagues at UCLouvain, developing the RShiny@UCLouvain platform that will host didactical apps created in Shiny for classroom usage.
COVID - 19
https://eugenpircalabelu.shinyapps.io/covid19-forecasting .
More on the subject here: https://uclouvain.be/fr/instituts-recherche/lidam/actualites/how-can-we-predict-the-evolution-of-covid-19-in-belgium.html .
Contact
Room d.125, 1st floor; Voie du Roman Pays 20, 1348 Louvain-la-Neuve, Belgium