Pircalabelu, E.
A spline-based time-varying reproduction number for modeling epidemiological outbreaks (Under review)
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⚠ We are hiring! 2 PhD + 1 Post-doc positions ⚠
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
Nezakati, E. & Pircalabelu, E.
Unbalanced distributed estimation and inference for precision matrices (Under review)
Pircalabelu, E. & Artemiou, A.
The LassoPSVM approach for sufficient dimension reduction using principal projections (Under review)
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. (Under review)
Pircalabelu, E. et al.
Overlapping clustering of time dependent variables. (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
Research team
Ensiyeh
Ensiyeh is a second-year PhD student in Statistics at the Institute of Statistics, Biostatistics and Actuarial Sciences of UCLouvain. She got her Bachelor's and Master's degrees in Statistics from Ferdowsi University of Mashhad, Iran. In her research, she worked on reliability modeling of the degradation systems and her current interest is modeling high-dimensional data and estimation of probabilistic graphical models. Currently, she is working on new methodological aspects for the estimation of probabilistic graphical models to the setting where datasets are stored on distributed computer clusters.
Emmanuel
Emmanuel started his Ph.D. in Statistics at UCLouvain in the fall of 2019. Previously, he obtained a Master's degree in Statistics and Bioengineering at UCLouvain. His current research interest deals with differential network modeling adding prior information. High-dimensional settings apllied to conditional independence modeling take a central stage. Among other things, he enjoys reading, mountain hiking, and playing basketball.
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