Pircalabelu, E. & Artemiou, A.
The LassoPSVM approach for sufficient dimension reduction using principal projections (Under review)
The LassoPSVM approach for sufficient dimension reduction using principal projections (Under review)
Graph informed sufficient dimension reduction. (Under review)
Linear manifold modeling and graph estimation based on multivariate functional data. (In preparation)
Functional connectivity estimation using informative prior knowledge. (In preparation)
"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.html"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."Copula directed acyclic graphs", Statistics and Computing, 27(1), 55-78
The final publication is available at http://link.springer.com/article/10.1007/s11222-015-9599-9"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+html"Focused model selection for social networks", Social Networks, 46, 76-86
The final publication is available at http://www.sciencedirect.com/science/article/pii/S0378873315301763"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-AOAS882"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-y"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
"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
"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
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.
Room d.125, 1st floor; Voie du Roman Pays 20, 1348 Louvain-la-Neuve, Belgium