{"id":45,"date":"2024-11-12T11:42:26","date_gmt":"2024-11-12T11:42:26","guid":{"rendered":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/?page_id=45"},"modified":"2025-10-24T17:12:49","modified_gmt":"2025-10-24T17:12:49","slug":"pubblicazioni","status":"publish","type":"page","link":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/pubblicazioni\/","title":{"rendered":"Pubblicazioni"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"45\" class=\"elementor elementor-45\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bff0726 e-con-full e-flex e-con e-parent\" data-id=\"bff0726\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c12571c elementor-widget elementor-widget-text-editor\" data-id=\"c12571c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><a href=\"https:\/\/www.research.unipd.it\/cris\/rp\/rp21650?start=0&amp;sortBy=2&amp;order=DESC&amp;type=article&amp;rpp=100\" target=\"_blank\" rel=\"noopener\"> <span style=\"color: #993300\"><strong>Pubblicazioni<\/strong><\/span><\/a><\/li><\/ul><div><p><span style=\"font-size: medium\"><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11222-025-10718-3\">Greco, L., Menardi, G. (2025) Robust mean-shift clustering based on impartial trimming. <em>Statistics and Computing<\/em>, 35(188)<\/a>.<\/span><\/p><p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-032-03042-9_13\"><span style=\"font-size: medium\">Ferrari, M., Brazzale, A.R., Menardi, G. (2025) Trajectory Reconstruction in Muon Scattering Tomography Using Two-Component Mixture Modelling. In: Supervised and unsupervised Statistical data Analysis.\u00a0<\/span><span style=\"font-size: medium\"><em>Studies in Classification, Data Analysis, and Knowledge Organization<\/em>. D\u2019Ambrosio, de Rooij, De Roover, Iorio, La Rocca Editors. Springer. ISSN 1431-8814.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10260-023-00726-w\"><span style=\"font-size: medium\">Montin, A., Brazzale, A. R., Menardi, G., Sottosanti, A. (2024) Locating \u03b3-ray sources on the celestial sphere via modal clustering. <em>Statistical Methods &amp; Applications<\/em>, 33, 153\u2013172.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11634-022-00501-x\"><span style=\"font-size: medium\">Ferraccioli, F., Menardi, G. (2023) Modal clustering of matrix-variate data. <em>Advances in Data Analysis and Classification<\/em>, 17(2).<\/span><\/a><\/p><p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0169131723002077\"><span style=\"font-size: medium\">Muracchioli, M, Menardi, G., D\u2019Agostini, M., Franchin, G., Colombo, P (2023) Modeling the compressive strength of metakaolin-based geopolymers based on the statistical analysis of experimental data. <em>Applied Clay Science<\/em>, 242.<\/span><\/a><\/p><p><a href=\"https:\/\/academic.oup.com\/jrsssa\/article\/185\/3\/1004\/7068941\"><span style=\"font-size: medium\">Menardi, G., De Stefano, D. (2022). Density-based clustering of social networks, <em>Journal of the Royal Statistical Society<\/em>,<em> Series A -Statistics in Society,<\/em> 185(3).<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10260-021-00585-3\"><span style=\"font-size: medium\">Casa, A., Menardi, G. (2022). Nonparametric semi-supervised classification with application to signal detection in high energy physics. <em>Statistical methods and Applications<\/em>, 31(3)<\/span><\/a><\/p><p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2405428321000095\"><span style=\"font-size: medium\">Stakia, A., Dorigo, T., Banelli, G., Bortoletto, D., Casa, A., de Castro, P., Delaere, C., Donini, J., Finos, L., Gallinaro, M., Giammanco, A., Held, A., Morales, F. J., Kotkowski, G., Liew, S. P., Maltoni, F., Menardi, G., Papavergou, I., Saggio, A., Scarpa, B., Strong, G. C., Tosciri, C., Varela, J., Vischia, P., Weiler, A. (2021).\u00a0<\/span><span style=\"font-size: medium\">Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. <em>Reviews in Physics<\/em>, 7<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11634-020-00423-6\"><span style=\"font-size: medium\">Casa, A. Scrucca, L. Menardi, G. (2021). Better than the best? Answers via model ensemble in density-based clustering. Advances in Data Analysis and Classification, 15(3).<\/span><span style=\"font-size: medium\">Casa, A., Bouveyron, C., Erosheva, E., Menardi, G. (2021). Co-clustering of Time-Dependent Data via the Shape Invariant Model. <em>Journal of Classification<\/em>, 38(3).<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10509-020-03763-z\"><span style=\"font-size: medium\">Costantin, D., Menardi, G., Brazzale, A. R., Bastieri, D., Fan, J. H. (2020). A novel approach for pre-filtering event sources using the von Mises\u2013Fisher distribution.<em>Astrophysics and Space Science<\/em>. 365(3).<\/span><\/a><\/p><p><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32311080\/\"><span style=\"font-size: medium\">Lunardon, N., Menardi, G. (2020) Comment on &#8220;Wang et al. (2005), Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis\u201d. <em>Biometrics<\/em>, 76(3).<\/span><\/a><\/p><p><a href=\"https:\/\/projecteuclid.org\/journals\/electronic-journal-of-statistics\/volume-14\/issue-1\/Modal-clustering-asymptotics-with-applications-to-bandwidth-selection\/10.1214\/20-EJS1679.full\"><span style=\"font-size: medium\">Casa, A., Chac\u00f3n, J.E., Menardi, G. (2020), Modal clustering asymptotics with applications to bandwidth selection. <em>Electronic Journal of Statistics<\/em> 14(1)<\/span><\/a><\/p><p><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/sam.11444\"><span style=\"font-size: medium\">Menardi, G. (2020). Nonparametric clustering for image segmentation. <em>Journal of Statistical Analsyis and Data Mining<\/em>. 13(1)<\/span><\/a><\/p><p><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/insr.12109\"><span style=\"font-size: medium\">Menardi, G. (2016) A review on modal clustering.<em> International Statistical review<\/em>. 84(3), 413-433.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00180-016-0644-8\"><span style=\"font-size: medium\">Azzalini, A., Menardi, G. (2016) Density-based clustering with non-continuous data. <em>Computational Statistics<\/em>. 31(2), 771-798.<\/span><\/a><\/p><p><a href=\"http:\/\/siba-ese.unisalento.it\/index.php\/ejasa\/article\/view\/13761\"><span style=\"font-size: medium\">Menardi, G., Lisi, F. (2015) Double clustering for rating mutual funds. <em>Electronic Journal of Applied Statistical Analysis<\/em>. 8(1), 44-56.<\/span><\/a><\/p><p><a href=\"https:\/\/journal.r-project.org\/articles\/RJ-2014-008\/RJ-2014-008.pdf\"><span style=\"font-size: medium\">Lunardon, N. Menardi, G. Torelli, N. (2014) ROSE: a package for class imbalance learning. <em>The R Journal<\/em>, 6(1): 79-89.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11222-013-9400-x\"><span style=\"font-size: medium\">Menardi, G., Azzalini, A. (2014) An advancement in clustering via nonparametric density estimation. <em>Statistics and Computing<\/em>, 24(5), 753-767.<\/span><\/a><\/p><p><a href=\"https:\/\/www.jstatsoft.org\/article\/view\/v057i11\"><span style=\"font-size: medium\">Azzalini, A., Menardi, G. (2014) Clustering via nonparametric density estimation: the R package pdfcluster, <em>Journal of Statistical Software<\/em>, 57(11), 1-26.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10618-012-0295-5\"><span style=\"font-size: medium\">Menardi, G., Torelli, N. (2014). Training and assessing classification rules with imbalanced data, <em>Data Mining and Knowledge Discovery<\/em>. 28(1), 92-122.<\/span><\/a><\/p><p><a href=\"https:\/\/www.risk.net\/journal-of-credit-risk\/2310088\/the-effect-of-training-set-selection-when-predicting-defaulting-small-and-medium-sized-enterprises-with-unbalanced-data\"><span style=\"font-size: medium\">Menardi, G. Torelli, N. (2013) Effect of training set selection when predicting defaulting small and medium sized enterprises with unbalanced data. <em>Journal of Credit Risk<\/em> 9(4).<\/span><\/a><\/p><p><a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00949655.2012.679032\"><span style=\"font-size: medium\">Menardi, G., Torelli, N. (2013) Reducing data dimension for cluster detection,<em> Journal of Statistical Computation and Simulation<\/em>. 83(11), 2047-2063.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-88-470-2871-5_14\"><span style=\"font-size: medium\">Menardi, G. (2013). Multidimensional connected set detection in clustering based on nonparametric density estimation. In: M. Grigoletto, F. Lisi, S. Petrone: <em>Complex Models and Computational Methods in Statistics.<\/em> Springer\/Physica Verlag, Heidelberg.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10436-012-0189-y\"><span style=\"font-size: medium\">Menardi, G., Lisi, F. (2012) Are performance measures equally stable?, Annals of Finance, 8(4), 553-570.<\/span><\/a><\/p><p><a href=\"https:\/\/tsgperformance.com\/product\/stability-performance-measures-time-empirical-study\/\"><span style=\"font-size: medium\">Menardi, G., Lisi, F. (2012) On the stability of performance measures over time: an empirical study.\u00a0<\/span><span style=\"font-size: medium\"><em>The Journal of Performance Measurement<\/em>. winter 2011\/2012: 36-45<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11222-010-9169-0\"><span style=\"font-size: medium\">Menardi, G. (2011) Density based Silhouette diagnostics for clustering methods, <em>Statistics and Computing<\/em>, 21(3), 295-308.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-13312-1_21\"><span style=\"font-size: medium\">Menardi, G., Tedeschi, F., Torelli, N. (2011) On the use of boosting procedures to predict the risk of default, In Fichet, B., Piccolo, D., Verde, R., Vichi, M. (Eds.) <em>Classification and Multivariate Analysis for Complex Data Structures, Studies in Classification, Data Analysis, and Knowledge Organization<\/em>, Springer. ISBN: 978-3-642-13311-4.<\/span><\/a><\/p><p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-03739-9_20\"><span style=\"font-size: medium\">Menardi, G. Torelli, N. (2010) Preserving the clustering structure by a projection pursuit approach. Palumbo, F., Lauro, C.N. and Greenacre, M. J. <em>Data Analysis and Classification, serie: Studies in Classification, Data Analysis, and Knowledge Organization<\/em>, Springer, Berlin. ISBN: 978-3-642-03738-2.<\/span><\/a><\/p><p><span style=\"font-size: medium;color: #000000\">Menardi, G., Monte, A., Pauli, F. (2006) Stima delle Forze di lavoro per le province del Friuli Venezia Giulia integrando rilevazioni campionarie e fonti amministrative. In Liseo, B., Montanari, G. E., Torelli, N.,<em>Metodi Statistici per l\u2019integrazione di dati da fonti diverse<\/em>, Franco Angeli editore. ISBN 88-464-6990-9.<\/span><\/p><\/div><p><!-- \/wp:html --><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Pubblicazioni Greco, L., Menardi, G. (2025) Robust mean-shift clustering based on impartial trimming. Statistics and Computing, 35(188). Ferrari, M., Brazzale, A.R., Menardi, G. (2025) Trajectory&#8230;<\/p>\n<div class=\"more-link-wrapper\"><a class=\"more-link\" href=\"https:\/\/homes.stat.unipd.it\/giovannamenardi\/pubblicazioni\/\">Continue reading<span class=\"screen-reader-text\">Pubblicazioni<\/span><\/a><\/div>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-45","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/pages\/45","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":35,"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/pages\/45\/revisions"}],"predecessor-version":[{"id":126,"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/pages\/45\/revisions\/126"}],"wp:attachment":[{"href":"https:\/\/homes.stat.unipd.it\/giovannamenardi\/wp-json\/wp\/v2\/media?parent=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}