andrea_cappozzo
@andreacappozzo
Associate Professor of Statistics at UniversitΓ Cattolica del Sacro Cuore @unicatt, Doctor Europaeus πͺπΊ
ID: 1120723496932450306
https://andreacappozzo.rbind.io/ 23-04-2019 16:17:58
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As if we were Vogue models, we also made it to the cover: here you can see a preview of the expected final result! A huge thanks to Francesca Greselin, Brendan Murphy and Ludovic Duponchel for making this possible!
A more technical paper on robust classification with andrea_cappozzo and Francesca Greselin has also just appeared in Computational Statistics & Data Analysis. doi.org/10.1016/j.csdaβ¦
I'm happy to announce that {osmextract}, an Rπ¦to match, download, convert, and read Open Street Map data is now on CRAN πππ git repo: github.com/ropensci/osmexβ¦ website: docs.ropensci.org/osmextract/indβ¦ Joint work with Robin Lovelace @[email protected] #rstats #rspatial
BRAND is hot off the press: a Bayesian Robust Adaptive model for Novelty Detection! Publishing a paper is always sweet, even sweeter if your coauthor is also your best manπ! Huge thanks to Francesco Denti and Francesca Greselin for their essential contribution! link.springer.com/article/10.100β¦
Postdoc opportunity to work on #robuststatistics in Milan under the great supervision of Francesca Greselin!
Super proud of this work, result of a joint collaborative effort with two friends @ale___casa and Michael Fop! Hopefully more is to come...stay tuned!
Hot off the press an article providing graphical and computational tools to help explore the space of solutions for Cluster Weighted Robust Models! Joint work with Luis Angel GarcΓa-Escudero, Francesca Greselin and AgustΓn Mayo-Iscar. doi.org/10.1080/106186β¦
A great delegation of PhD students from #HealthAnalytics group at Polimi and #HealthDataScience Center at Human Technopole presenting in the PhDmeeting held at Mario Negri in these days! Health Data Science Centre at Human Technopole Human Technopole
Excited to share that (after quite some time π) we released a preprint w my friends @ale___casa and Michael Fop! We introduce a new sparse model-based clustering approach, tackling overparameterization issues in matrix Gaussians mixtures. Check it out! arxiv.org/abs/2307.10673
Thrilled to have our poster at #iscb44! We propose a novel method for DNAm surrogate creation using penalized mixed effects multi-task learning, a collaboration with Francesca Ieva and Giovanni Fiorito soon to appear in the Annals of Applied Statistics! Check it out at stand TP51!
Honored to have received this award at Cladag2023 conference! I presented a working paper on clustering lifetime data with frailties and random covariates, a collaboration with colleagues chiara masci, Francesca Ieva and Anna Paganoni from the health analytics research area @mox_lab
Delighted to see this out: a novel methodology for creating DNAm biomarkers for multiple risk factors in a hierarchical setting. Huge thanks to Francesca Ieva (@mox_lab & Health Data Science Centre at Human Technopole) and Giovanni Fiorito (Istituto Giannina Gaslini) for their amazing effort! projecteuclid.org/journals/annalβ¦
β¨οΈTell me Y-SIS: Share, Inform, Stimulateβ¨οΈ πOur member andrea_cappozzo (Politecnico di Milano) published his work, joint with Francesca Ieva (@mox_lab & Health Data Science Centre at Human Technopole ) and Giovanni Fiorito (Istituto Giannina Gaslini) in the AOAS. πFor the details projecteuclid.org/journals/annalβ¦ πCongrats Andrea!