Papers of Laura Azzimonti



  1. K. Sechidis, L. Azzimonti, A. Pocock, G. Corani, A. Weatherall, G. Brown (2019): "Efficient feature selection using shrinkage estimators", Machine Learning Journal.
  2. L. Azzimonti, G. Corani, M. Zaffalon (2019): "Hierarchical estimation of parameters in Bayesian networks", Computational Statistics and Data Analysis, vol. 137, 67-91.
    Supplementary material: codes.
  3. E. Arnone, L. Azzimonti, F. Nobile, L.M. Sangalli (2019): "Modeling spatially dependent functional data via regression with differential regularization", Journal of Multivariate Analysis, vol. 170, 275 - 295.
  4. F. Gorini, L. Azzimonti, G. Delfanti, L. Scarfo', C. Scielzo, M.T. Bertilaccio, P. Ranghetti, A. Gulino, C. Doglioni, A. Di Napoli, M. Capri, C. Franceschi, F. Calligaris-Cappio, P. Ghia, M. Bellone, P. Dellabona, G. Casorati, C. de Lalla (2017): "Invariant NKT cells contribute to Chronic Lymphocytic Leukemia surveillance and prognosis", Blood, vol. 129, no. 26, 3440-3451.
  5. C. Cruder, D. Falla, F. Mangili, L. Azzimonti, L.S. Araujo, A. Williamon, M. Barbero (2017): "Profiling the location and extent of musicians' pain using digital pain drawings", Pain Practice.
  6. B. Guerciotti, C. Vergara, L. Azzimonti, L. Forzenigo, A. Buora, P. Biondetti, M. Domanin (2016): "Computational study of the fluid-dynamics in carotids before and after endarterectomy", Journal of Biomechanics, vol. 49, 26-38.
  7. L. Azzimonti, L.M. Sangalli, P. Secchi, M. Domanin, F. Nobile (2015), "Blood flow velocity field estimation via spatial regression with PDE penalization", Journal of the American Statistical Association, Theory and Methods Section, vol. 110, no. 511, 1057-1071.
    Supplementary material: codes.
  8. L. Azzimonti, F. Nobile, L.M. Sangalli, P. Secchi (2014), "Mixed finite elements for spatial regression with PDE penalization", SIAM/ASA Journal on Uncertainty Quantification, vol. 2, 305-335.
  9. L. Azzimonti, M.A. Cremona, A. Ghiglietti, F. Ieva, A. Menafoglio, A. Pini, P. Zanini (2014): "BARCAMP: Technology Foresights and Statistics for the Future" in Advances in Complex Data Modeling and Computational Methods in Statistics - Contributions to Statistics, Springer, eds: A.M. Paganoni, P. Secchi, 53-67.
  10. L. Azzimonti, F. Ieva, A.M. Paganoni (2013), "A new unsupervised classification technique through nonlinear non parametric mixed effects models", in Complex Models and Computational Methods in Statistics, Springer, eds: Grigoletto, Lisi, Petrone.
    Supplementary material: codes.
  11. Laura Azzimonti, Francesca Ieva and Anna M. Paganoni (2012), "Nonlinear nonparametric mixed-effects models for unsupervised classification", Computational Statistics, vol. 28, no. 4, 1549-1570.
    Supplementary material: codes.
  12. C. de Lalla, A. Rinaldi, D. Montagna, L. Azzimonti, M.E. Bernardo, L.M. Sangalli, A.M. Paganoni, R. Maccario, A. Di Cesare-Merlone, M. Zecca, F. Locatelli, P. Dellabona, G. Casorati (2011), "Invariant NKT cell reconstitution in pediatric leukemia patients given HLA-haploidentical stem cell transplantation defines distinct CD4+ and CD4- subset dynamics and correlates with the remission state", The Journal of Immunology, Vol. 186, pp. 4490-4499.

Refereed conference proceedings and other publications

  1. L. Azzimonti, G. Corani, M. Zaffalon (2017): "Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables", 2017 IEEE 17th International Conference on Data Mining (ICDM).
    Supplementary material: codes.
  2. E. Arnone, L. Azzimonti, F. Nobile, L. Sangalli (2017): "A time-dependent PDE regularization to model functional data defined over spatio-temporal domains" in Functional Statistics and Related Fields, Springer International Publishing, eds: G. Aneiros, E.G. Bongiorno, R. Cao, P. Vieu, 41-44.
  3. L. Azzimonti, L.M. Sangalli, P. Secchi (2014), "Modeling prior knowledge on complex phenomena behaviors via partial differential equations", Proceedings of the 47th Scientific Meeting of the Italian Statistical Society 2014.
  4. L. Azzimonti, L.M. Sangalli, P. Secchi (2013), "Spatial regression with PDE penalization: an application to blood velocity field estimation", Proceedings of the 8th conference on statistical computation and complex systems.
  5. L. Azzimonti, L.M. Sangalli, P. Secchi, S. Romagnoli and M. Domanin (2012), "PDE penalization for spatial fields smoothing", Proceedings of the 46th Scientific Meeting of the Italian Statistical Society.
  6. L. Azzimonti, L.M. Sangalli and P. Secchi (2011), "Surface estimation via spatial spline models with PDE penalization", Proceedings of S.Co.2011 Conference.
  7. L. Azzimonti, F. Ieva and A.M. Paganoni (2011), "A new unsupervised classification algorithm for nonlinear non parametric mixed effects models", Proceedings of S.Co.2011 Conference.
  8. L. Azzimonti, C. De Lalla, A.M. Paganoni, L.M. Sangalli (2010), "Mixed effects models for growth curves", Proceedings of the XLV Riunione Scientifica SocietÓ Italiana di Statistica.

Last modification: August 2017
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