30/2024 - Gregorio, C.; Rea, F.; Ieva, F.; Scagnetto, A.; Indennidade, C.; Cappelletto, C.; Di Lenarda, A.; Barbati, G.
Flexible approaches based on multi-state models and microsimulation to perform real-world cost-effectiveness analyses: an application to PCSK9-inhibitors
29/2024 - Palummo, A.;, Arnone, E.; Formaggia, L.; Sangalli, L.M.
Functional principal component analysis for incomplete space-time data
16/2024 - Domanin D. A.; Pegoraro M.; Trimarchi S.; Domanin M.; Secchi P.
Persistence diagrams for exploring the shape variability of abdominal aortic aneurysms
108/2023 - Arnone, E.; Negri, L.; Panzica, F.; Sangalli, L.M.
Analyzing data in complicated 3D domains: smoothing, semiparametric regression and functional principal component analysis
109/2023 - Clementi, L.; Arnone, E.; Santambrogio, M.D.; Franceschetti, S.; Panzica, F.; Sangalli, L.M.
Anatomically compliant modes of variations: new tools for brain connectivity
92/2023 - Burzacchi, A.; Rossi, L.; Agasisti, T.; Paganoni, A. M.; Vantini, S.
Commuting time as a determinant of higher education students' performance: the case of Politecnico di Milano
90/2023 - Gregorio, C.; Baj, G.; Barbati, G.; Ieva, F.
Dynamic treatment effect phenotyping through functional survival analysis
86/2023 - Ferraccioli, F.; Sangalli, L.M.; Finos, L.
Nonparametric tests for semiparametric regression models
85/2023 - Arnone, E.; De Falco, C.; Formaggia, L.; Meretti, G.; Sangalli, L.M.
Computationally efficient techniques for Spatial Regression with Differential Regularization
76/2023 - Ieva, F.; Galliani, G.; Secchi, P.
The impact of public transport on the diffusion of COVID-19 pandemie in Lombardy during 2020
75/2023 - Archetti, A.; Ieva, F.; Matteucci, M.
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics
74/2023 - Pidò, S.; Pinoli, P.; Crovari, P.; Ieva, F.; Garzotto, F.; Ceri, S.
Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational Interfaces
70/2023 - Ragni, A.; Ippolito, D.; Masci, C.
Assessing the Impact of Hybrid Teaching on Students' Academic Performance via Multilevel Propensity Score-based techniques
53/2023 - Rossi, A.; Cappozzo, A.; Ieva, F.
Functional Boxplot Inflation Factor adjustment through Robust Covariance Estimators
49/2023 - Ieva, F.; Ronzulli, M.; Romo, J.; Paganoni, A.M.
A Spearman Dependence Matrix for Multivariate Functional Data
23/2023 - Bertoletti, A.; Cannistrà, M.; Diaz Lema, M.; Masci, C.; Mergoni, A.; Rossi, L.; Soncin, M.
The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest
13/2023 - Masci, C.; Cannistrà, M.; Mussida, P.
Modelling time-to-dropout via Shared Frailty Cox Models. A trade-off between accurate and early predictions
15/2023 - Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
76/2022 - Spreafico, M.; Ieva, F.; Fiocco, M.
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
75/2022 - Rea, F.; Savaré, L; Franchi, M.; Corrao, G; Mancia, G
Adherence to Treatment by Initial Antihypertensive Mono and Combination Therapies
73/2022 - Spreafico, M.; Gasperoni, F.; Barbati, G.; Ieva, F.; Scagnetto, A.; Zanier, L.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
Adherence to disease-modifying therapy in patients hospitalized for HF: findings from a community-based study
72/2022 - Spreafico, M.; Ieva, F.; Arlati, F.; Capello, F.; Fatone, F.; Fedeli, F.; Genalti, G.; Anninga, J.; Gelderblom, H.; Fiocco, M.
Novel longitudinal multiple overall toxicity score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma
64/2022 - Massi, M.C., Dominoni, L., Ieva, F., Fiorito, G.
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis
61/2022 - Gregorio, C.; Cappelletto, C.; Romani, S.; Stolfo, D.; Merlo, M.; Barbati, G.
Using marginal structural joint models to estimate the effect of a time-varying treatment on recurrent events and survival: An application on arrhythmogenic cardiomyopathy
55/2022 - Cavinato, L.; Pegoraro, M.; Ragni, A.; Ieva, F.
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
50/2022 - Elías, A.; Jiménez, R.; Paganoni, A.M.; Sangalli, L.M.
Integrated Depths for Partially Observed Functional Data
48/2022 - Gregorio, C.; Barbati, G.; Ieva, F.
A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker’s profiles
44/2022 - Peli, R.; Dovera, L.; Fighera, G.; Menafoglio, A.; Secchi, P.
Forecasting Oil Production Rates in Primary Depletion using the Physics-based Residual Kriging functional approach
41/2022 - Arnone, A.; Ferraccioli, F.; Pigolotti, C.; Sangalli, L.M.
A roughness penalty approach to estimate densities over two-dimensional manifolds
38/2022 - Burzacchi, A.; Landrò, M.; Vantini, S.
Object-oriented Classification of Road Pavement Type in Greater Maputo from Satellite Images
31/2022 - Bortolotti, T; Peli, R.; Lanzano, G; Sgobba, S.; Menafoglio, A
Weighted functional data analysis for the calibration of ground motion models in Italy
32/2022 - Barbi, C.; Menafoglio, A; Secchi, P.
An object-oriented approach to the analysis of spatial complex data over stream-network domains
27/2022 - Lazzari J., Asnaghi R., Clementi L., Santambrogio M. D.
Math Skills: a New Look from Functional Data Analysis
25/2022 - Cavinato, L; Gozzi, N.; Sollini, M; Kirienko, M; Carlo-Stella, C; Rusconi, C; Chiti, A; Ieva, F.
Perspective transfer model building via imaging-based rules extraction from retrospective cancer subtyping in Hodgkin Lymphoma
24/2022 - Cappozzo, A.; McCrory, C.; Robinson, O.; Freni Sterrantino, A.; Sacerdote, C.; Krogh, V.; Panico, S.; Tumino, R.; Iacoviello, L.; Ricceri, F.; Sieri, S.; Chiodini, P.; Kenny, R.A.; O'Halloran, A.; Polidoro, S.; Solinas, G.; Vineis, P.; Ieva, F.; Fiorito, G.;
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
23/2022 - Masci, C.; Ieva, F.; Paganoni, A.M.
A multinomial mixed-effects model with discrete random effects for modelling dependence across response categories
20/2022 - Clementi, L.; Gregorio, C; Savarè, L.; Ieva, F; Santambrogio, M.D.; Sangalli, L.M.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
21/2022 - Cappozzo, A.; Ieva, F.; Fiorito, G.
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
84/2021 - Torti, A.; Galvani, M.; Urbano, V.; Arena, M.; Azzone, G.; Secchi, P.; Vantini, S.
Analysing transportation system reliability: the case study of the metro system of Milan
85/2021 - Cavinato, L., Gozzi, N., Sollini, M., Carlo-Stella, C., Chiti, A., & Ieva, F.
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes
91/2021 - Arnone, E.; Sangalli, L.M.; Vicini, A.
Smoothing spatio-temporal data with complex missing data patterns
82/2021 - Massi, M.C.; Ieva, F.
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
80/2021 - Sollini, M., Bartoli, F., Cavinato, L., Ieva, F., Ragni, A., Marciano, A., Zanca, R., Galli, L., Paiar, F., Pasqualetti , F. and Erba P. A.
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
79/2021 - Ferraccioli, F.; Sangalli, L.M.; Finos, L.
Some first inferential tools for spatial regression with differential regularization
76/2021 - Ponti, L.; Perotto, S.; Sangalli, L.M.
A PDE-regularized smoothing method for space-time data over manifolds with application to medical data
64/2021 - Clarotto, L; Allard, D.; Menafoglio, A.
A new class of alpha-transformations for the spatial analysis of Compositional Data
49/2021 - Rea, F.; Savaré, L; Franchi, M.; Corrao, G; Mancia, G
Adherence to Treatment by Initial Antihypertensive Mono and Combination Therapies
46/2021 - Diquigiovanni, J.; Fontana, M.; Vantini, F.
Conformal Prediction Bandsfor Multivariate Functional Data
45/2021 - Diquigiovanni, J.; Fontana, M.; Vantini, S.
Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
42/2021 - Calissano, A.; Fontana, M.; Zeni, G.; Vantini, S.
Conformal Prediction Sets for Populations of Graphs
41/2021 - Costa, G., Cavinato, L., Maschi, C., Fiz, F., Sollini, M., Politi, L. S., Chiti, A., Balzarini, L., Aghemo, A., di Tommaso, L., Ieva, F., Torzilli, G., Viganò, L.
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
32/2021 - Sangalli, L.M.
Spatial regression with partial differential equation regularization
31/2021 - Ferraccioli, F.; Arnone, E.; Finos, L.; Ramsay, J.O.; Sangalli, L.M.
Nonparametric density estimation over complicated domains
27/2021 - Scimone, R.; Menafoglio, A.; Sangalli, L.M.; Secchi, P.
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities
26/2021 - Vigano, L.; Sollini, M.; Ieva, F.; Fiz, F.; Torzilli, G.
Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists
23/2021 - Scimone, R.; Taormina, T.; Colosimo, B. M.; Grasso, M.; Menafoglio, A.; Secchi, P.
Statistical modeling and monitoring of geometrical deviations in complex shapes with application to Additive Manufacturing
21/2021 - Torti, A.; Galvani, M.; Menafoglio, A.; Secchi, P.; Vantini S.
A General Bi-clustering Algorithm for Hilbert Data: Analysis of the Lombardy Railway Service
14/2021 - Peli, R.; Menafoglio, A.; Cervino, M.; Dovera, L.; Secchi, P;
Physics-based Residual Kriging for dynamically evolving functional random fields
07/2021 - Diquigiovanni, J.; Fontana, M.; Vantini, S.
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data
03/2021 - Torti, A.; Marika, A.; Azzone, G.; Secchi, P.; Vantini S.
Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts
02/2021 - Calissano, A.; Feragen, A; Vantini, S.
Graph-Valued Regression: Prediction of unlabelled networks in a Non-Euclidean Graph-Space
01/2021 - Pegoraro, M.; Beraha, M.
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
83/2020 - Hron, K.; Machalova, J.; Menafoglio, A.
Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation
85/2020 - Cavinato, L.; Sollini, M.; Kirienko, M.; Biroli, M.; Ricci, F.; Calderoni, L.; Tabacchi, E.; Nanni, C.; Zinzani, P. L.; Fanti, S.; Guidetti, A.; Alessi, A.; Corradini, P.; Seregni, E.; Carlo-Stella, C.; Chiti, A.; Ieva, F.;
PET radiomics-based lesions representation in Hodgkin lymphoma patients
76/2020 - Centofanti, F.; Lepore, A.; Menafoglio, A.; Palumbo, B.; Vantini, S.
Functional Regression Control Chart
72/2020 - Belli E.; Vantini S.
Measure Inducing Classification and Regression Trees for Functional Data
71/2020 - Belli E; Vantini S.
Ridge regression with adaptive additive rectangles and other piecewise functional templates
70/2020 - Belli E.
Smoothly Adaptively Centered Ridge Estimator
69/2020 - Galvani, M.; Torti, A.; Menafoglio, A.; Vantini S.
FunCC: a new bi-clustering algorithm for functional data with misalignment
67/2020 - Caramenti, L.; Menafoglio, A.; Sgobba, S.; Lanzano, G.
Multi-Source Geographically Weighted Regression for Regionalized Ground-Motion Models
66/2020 - Didkovsky, O.; Ivanov, V.; Papini, M.; Longoni, L.; Menafoglio, A.
A comparison between machine learning and functional geostatistics approaches for data-driven analyses of solid transport in a pre-Alpine stream
64/2020 - Fiz, F.; Viganò, L.; Gennaro, N.; Costa, G.; La Bella, L.; Boichuk A.; Cavinato, L.; Sollini, M.; Politi, L. S.; Chiti, A.; Torzilli, G.
Radiomics of Liver Metastases: A Systematic Review
62/2020 - Massi, M. C.; Ieva, F.
Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification
58/2020 - Beraha, M.; Pegoraro, M.; Peli, R.; Guglielmi, A
Spatially dependent mixture models via the Logistic Multivariate CAR prior
59/2020 - Massi, M.C.; Franco, N.R; Ieva, F.; Manzoni, A.; Paganoni, A.M.; Zunino, P.
High-Order Interaction Learning via Targeted Pattern Search
54/2020 - Arnone, E.; Bernardi, M. S.; Sangalli, L. M.; Secchi, P.
Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization
53/2020 - Arnone, E.; Kneip, A.; Nobile, F.; Sangalli, L. M.
Some numerical test on the convergence rates of regression with differential regularization
52/2020 - Arnone, E.; Kneip, A.; Nobile, F.; Sangalli, L. M.
Some first results on the consistency of spatial regression with partial differential equation regularization
51/2020 - Ferraccioli, F.; Sangalli, L. M.; Arnone, E.,; Finos, L.
A functional data analysis approach to the estimation of densities over complex regions
47/2020 - Sangalli, L.M.
A novel approach to the analysis of spatial and functional data over complex domains
45/2020 - Gatti, F.; Menafoglio, A.; Togni, N.; Bonaventura, L.; Brambilla, D.; Papini, M; Longoni, L.
A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
44/2020 - Masci, C.; Ieva, F.; Paganoni A.M.
EM algorithm for semiparametric multinomial mixed-effects models
41/2020 - Cannistrà,M.; Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A.M.
Not the magic algorithm: modelling and early-predicting students dropout through machine learning and multilevel approach
38/2020 - Sollini, M.; Kirienko, M.; Cavinato, L.; Ricci, F.; Biroli, M.; Ieva, F.; Calderoni, L.; Tabacchi, E.; Nanni, C.; Zinzani, P.L.; Fanti, S.; Guidetti, A; Alessi, A.; Corradini, P.; Seregni, E.; Carlo-Stella, C.; Chiti, A.
Methodological framework for radiomics applications in Hodgkin’s lymphoma
36/2020 - Pellagatti, M.; Masci, C.; Ieva, F.; Paganoni A.M.
Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout
32/2020 - Menafoglio, A.; Sgobba, S.; Lanzano, G.; Pacor, F.
Simulation of seismic ground motion fields via object-oriented spatial statistics: a case study in Northern Italy
33/2020 - Centofanti, F.; Fontana, M.; Lepore, A.; Vantini, S.
Smooth LASSO Estimator for the Function-on-Function Linear Regression Model
31/2020 - Bernardi, M.S.; Africa, P.C.; de Falco, C.; Formaggia, L.; Menafoglio, A.; Vantini, S.
On the Use of Interfeometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards
30/2020 - Massi, M.C., Gasperoni, F., Ieva, F., Paganoni, A.M., Zunino, P., Manzoni, A., Franco, N.R., et al.
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort
27/2020 - Spreafico, M.; Ieva, F.; Fiocco, M.
Modelling dynamic covariates effect on survival via Functional Data Analysis: application to the MRC BO06 trial in osteosarcoma
22/2020 - Zeni, G.; Fontana, M.; Vantini, F.
Conformal Prediction: a Unified Review of Theory and New Challenges
23/2020 - Spreafico, M.; Ieva, F.
Functional modelling of recurrent events on time-to-event processes
14/2020 - Calissano, A.; Feragen, A; Vantini, S.
Populations of Unlabeled Networks: Graph Space Geometry and Geodesic Principal Components
09/2020 - Rea, F.; Ieva, F.,; Pastorino, U.; Apolone, G.; Barni, S.; Merlino, L.; Franchi, M.; Corrao, G.
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
04/2020 - Didkovskyi, O.; Azzone, G.; Menafoglio A.; Secchi P.
Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case
60/2019 - Ieva, F; Paganoni, A.M.; Romo, J.; Tarabelloni, N.
roahd Package: Robust Analysis of High Dimensional Data
46/2019 - Di Iorio, J.; Vantini, S.
funBI: a Biclustering Algorithm for Functional Data
47/2019 - Spreafico, M.; Ieva, F.
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates
42/2019 - Martino, A.; Guatteri, G.; Paganoni, A.M.
hmmhdd Package: Hidden Markov Model for High Dimensional Data
39/2019 - Lovato, I.; Pini, A.; Stamm, A.; Taquet, M.; Vantini, S.
Multiscale null hypothesis testing for network-valued data: analysis of brain networks of patients with autism
40/2019 - Lovato, I.; Pini, A.; Stamm, A.; Vantini, S.
Model-free two-sample test for network-valued data
38/2019 - Massi, M.C.; Ieva, F.; Gasperoni, F.; Paganoni, A.M.
Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders
37/2019 - Menafoglio, A.; Secchi, P.
O2S2: a new venue for computational geostatistics
27/2019 - Tantardini, M.; Ieva, F.; Tajoli, L.; Piccardi, C.
Comparing methods for comparing networks
24/2019 - Masci, C.; Ieva, F.; Agasisti, T.; Paganoni A.M.
Evaluating class and school effects on the joint achievements in different subjects: a bivariate semi-parametric mixed-effects model
21/2019 - Martino, A.; Guatteri, G.; Paganoni, A.M.
Hidden Markov Models for multivariate functional data
19/2019 - Torti, A.; Pini, A.; Vantini, S.
Modelling time-varying mobility flows using function-on-function regression: analysis of a bike sharing system in the city of Milan.
10/2019 - Abramowicz, K.; Pini, A.; Schelin, L.; Sjostedt de Luna, S.; Stamm, A.; Vantini, S.
Domain selection and family-wise error rate for functional data: a unified framework
12/2019 - Capezza, C.; Lepore, A.; Menafoglio, A.; Palumbo, B.; Vantini, S.
Control charts for monitoring ship operating conditions and CO2 emissions based on scalar-on-function regression
05/2019 - Gasperoni, F.; Ieva, F.; Paganoni, A.M.; Jackson, C.; Sharples, L.
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
64/2018 - Menafoglio, A.; Pigoli, D.; Secchi, P.
Kriging Riemannian Data via Random Domain Decompositions
65/2018 - Boschi, T.; Chiaromonte, F.; Secchi, P.; Li, B.
Covariance based low-dimensional registration for function-on-function regression
59/2018 - Martino, A.; Guatteri, G.; Paganoni, A. M.
Multivariate Hidden Markov Models for disease progression
47/2018 - Stefanucci, M.; Sangalli, L.M.; Brutti, P.
PCA-based discrimination of partially observed functional data, with an application to Aneurisk65 dataset
48/2018 - Arnone, E.; Azzimonti, L.; Nobile, F.; Sangalli, L.M.
Modeling spatially dependent functional data via regression with differential regularization
45/2018 - Bernardi, M.S.; Carey, M.; Ramsay, J.O.; Sangalli, L.M.
Modeling spatial anisotropy via regression with partial di fferential regularization
44/2018 - Bernardi, M.S.; Sangalli, L.M.
Modelling spatially dependent functional data by spatial regression with differential regularization
43/2018 - Fontana, L.; Masci, C.; Ieva, F.; Paganoni, A.M.
Performing Learning Analytics via Generalized Mixed-Effects Trees
30/2018 - Ieva, F.; Palma, F.; Romo, J.
Bootstrap-based Inference for Dependence in Multivariate Functional Data
16/2018 - Calissano, A.; Vantini, S.; Arnaboldi, M.
An elephant in the room: Twitter samplingmethodology.
09/2018 - Menafoglio, A.; Grasso, M.; Secchi, P.; Colosimo, B.M.
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data
10/2018 - Menafoglio, A.; Gaetani, G.; Secchi, P.
Random Domain Decompositions for object-oriented Kriging over complex domains
07/2018 - Ieva, F.; Bitonti, D.
Network Analysis of Comorbidity Patterns in Heart Failure Patients using Administrative Data
63/2017 - Masci, C.; Paganoni, A.M.; Ieva, F.
Non-parametric mixed-effects models for unsupervised classification of Italian schools
59/2017 - Grujic, O.; Menafoglio, A.; Guang, Y.; Caers, J.
Cokriging for multivariate Hilbert space valued random fields. Application to multifidelity computer code emulation
45/2017 - Gasperoni, F.; Ieva, F.; Paganoni, A.M.; Jackson C.H.; Sharples L.D.
Nonparametric frailty Cox models for hierarchical time-to-event data
43/2017 - Bottle, A.; Ventura, C.M.; Dharmarajan, K.; Aylin, P.; Ieva, F.; Paganoni, A.M.
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
44/2017 - Martino, A.; Ghiglietti, A.; Ieva, F.; Paganoni, A.M.
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
31/2017 - Schiltz, F.; Masci, C.; Agasisti, T.; Horn, D.
Using Machine Learning to Model Interaction Effects in Education: a Graphical Approach.
28/2017 - Pini, A.; Spreafico, L.; Vantini, S.; Vietti, A.
Multi-aspect local inference for functional data: analysis of ultrasound tongue profiles
26/2017 - Masci, C.; Johnes, G.; Agasisti, T.
Student and School Performance in the OECD: a Machine Learning Approach.
21/2017 - Talska, R.; Menafoglio, A.; Machalova, J.; Hron, K.; Fiserova, E.
Compositional regression with functional response
16/2017 - Ghiglietti, A.; Scarale, M.G.; Miceli, R.; Ieva, F.; Mariani, L.; Gavazzi, C.; Paganoni, A.M.; Edefonti, V.
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial
10/2017 - Pini, A.; Stamm, A.; Vantini, S.
Hotelling's $T^2$ in separable Hilbert spaces
12/2017 - Gasperoni, F.; Ieva, F.; Barbati, G.; Scagnetto, A.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
Multi state modelling of heart failure care path: a population-based investigation from Italy
06/2017 - Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
On the Use of the Concentration Function in Medical Fraud Assessment
07/2017 - Cabassi A.; Pigoli D.; Secchi P.; Carter P.A.
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
05/2017 - Menafoglio, A.; Hron, K.; Filzmoser, P.
Logratio approach to distributional modeling
02/2017 - Arena, M.; Calissano, A.; Vantini, S.
Monitoring Rare Categories in Sentiment and Opinion Analysis - Expo Milano 2015 on Twitter Platform.
46/2016 - Lila, E.; Aston, J.A.D.; Sangalli, L.M.
Smooth Principal Component Analysis over two-dimensional manifolds with an application to Neuroimaging
36/2016 - Mancini, L.; Paganoni, A.M.
Marked Point Process models for the admissions of heart failured patients
34/2016 - Menafoglio, A.; Secchi, P.
Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics
32/2016 - Tarabelloni, N.; Schenone, E.; Collin, A.; Ieva, F.; Paganoni, A.M.; Gerbeau, J.-F.
Statistical Assessment and Calibration of Numerical ECG Models
30/2016 - Abramowicz, K.; Häger, C.; Pini, A.; Schelin, L.; Sjöstedt de Luna, S.; Vantini, S.
Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament
20/2016 - Wilhelm, M.; Sangalli, L.M.
Generalized Spatial Regression with Differential Regularization
15/2016 - Ieva, F.; Paganoni, A.M.
A taxonomy of outlier detection methods for robust classification in multivariate functional data
03/2016 - Tarabelloni, N.; Ieva, F.
On Data Robustification in Functional Data Analysis
57/2015 - Wilhelm, M.; Dedè, L.; Sangalli, L.M.; Wilhelm, P.
IGS: an IsoGeometric approach for Smoothing on surfaces
53/2015 - Menafoglio, A; Grujic, O.; Caers, J.
Universal kriging of functional data: trace-variography vs cross-variography? Application to forecasting in unconventional shales
49/2015 - Ghiglietti, A.; Ieva, F.; Paganoni, A.M.
Statistical inference for stochastic processes: two sample hypothesis tests
39/2015 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Quintana, F.A.
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an Application to Acute Myocardial Infarction
38/2015 - Grasso, M.; Menafoglio, A.; Colosimo, B.M.; Secchi, P.
Using Curve Registration Information for Profile Monitoring
34/2015 - Bernardi, M.S.; Mazza, G.; Ramsay, J.O.; Sangalli, L.M.
A separable model for spatial functional data with application to the analysis of the production of waste in Venice province
32/2015 - Agasisti,T.; Ieva, F.; Masci, C.; Paganoni, A.M.
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students
31/2015 - Pini, A.; Vantini, S.; Colombo, D.; Colosimo, B. M.; Previtali, B.
Domain-selective functional ANOVA for process analysis via signal data: the remote monitoring in laser welding
30/2015 - Pini, A.; Vantini, S.
Interval-wise testing for functional data
27/2015 - Marron, J.S.; Ramsay, J.O.; Sangalli, L.M.; Srivastava, A.
Functional Data Analysis of Amplitude and Phase Variation
21/2015 - Arena, M.; Azzone, G.; Secchi, P.; Vantini, S.
Reputational risk and corporate finance: A multi-event model
09/2015 - Ghiglietti, A.; Ieva, F.; Paganoni, A.M.; Aletti, G.
On linear regression models in infinite dimensional spaces with scalar response
01/2015 - Pini, A.; Stamm, A.; Vantini, S.
Hotelling s $T^2$ in functional Hilbert spaces
02/2015 - Menafoglio, A.; Petris, G.
Kriging for Hilbert-space valued random fields: the Operatorial point of view
03/2015 - Abramowicz, K.; de Luna, S.; Häger, C.; Pini, A.; Schelin, L.; Vantini, S.
Distribution-Free Interval-Wise Inference for Functional-on-Scalar Linear Models
58/2014 - Menafoglio, A.; Secchi, P.; Guadagnini, A.
A Class-Kriging predictor for Functional Compositions with Application to Particle-Size Curves in Heterogeneous Aquifers
54/2014 - Ferrario, E.; Pini, A.
Uncertainties in renewable energy generation systems: functional data analysis, monte carlo simulation, and fuzzy interval analysis
53/2014 - Ieva, F.; Paganoni, A.M., Pietrabissa, T.
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure
42/2014 - Canale, A.; Vantini, S.
Constrained Functional Time Series: an Application to Demand and Supply Curves in the Italian Natural Gas Balancing Platform
39/2014 - Ghiglietti, A.; Paganoni, A.M.
Statistical inference for functional data based on a generalization of Mahalanobis distance
38/2014 - Shen, H.; Truong, Y.; Zanini, P.
Independent Component Analysis for Spatial Stochastic Processes on a Lattice
25/2014 - Hron, K.; Menafoglio, A.; Templ, M.; Hruzova K.; Filzmoser, P.
Simplicial principal component analysis for density functions in Bayes spaces
24/2014 - Ieva, F., Jackson, C.H., Sharples, L.D.
Multi-State modelling of repeated hospitalisation and death in patients with Heart Failure: the use of large administrative databases in clinical epidemiology
23/2014 - Ieva, F., Paganoni, A.M., Tarabelloni, N.
Covariance Based Unsupervised Classification in Functional Data Analysis
07/2014 - Agasisti, T.; Ieva, F.; Paganoni, A.M.
Heterogeneity, school-effects and achievement gaps across Italian regions: further evidence from statistical modeling
01/2014 - Secchi, P.; Vantini, S.; Zanini, P.
Hierarchical Independent Component Analysis: a multi-resolution non-orthogonal data-driven basis
63/2013 - Pigoli, D.; Menafoglio, A.; Secchi, P.
Kriging prediction for manifold-valued random field
60/2013 - Ghiglietti, A.; Paganoni, A.M.
An urn model to construct an efficient test procedure for response adaptive designs
54/2013 - Biasi, R.; Ieva, F.; Paganoni, A.M.; Tarabelloni, N.
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiographic signals
45/2013 - Sangalli, L.M.; Secchi, P.; Vantini, S.
Analysis of AneuRisk65 data: K-mean Alignment
46/2013 - Marron, J.S.; Ramsay, J.O.; Sangalli, L.M.; Srivastava, A.
Statistics of Time Warpings and Phase Variations
44/2013 - Sangalli, L.M.; Secchi, P.; Vantini, S.
AneuRisk65: a dataset of three-dimensional cerebral vascular geometries
43/2013 - Patriarca, M.; Sangalli, L.M.; Secchi, P.; Vantini, S.
Analysis of Spike Train Data: an Application of K-mean Alignment
42/2013 - Bernardi, M.; Sangalli, L.M.; Secchi, P.; Vantini, S.
Analysis of Juggling Data: an Application of K-mean Alignment
41/2013 - Bernardi, M.; Sangalli, L.M.; Secchi, P.; Vantini, S.
Analysis of Proteomics data: Block K-mean Alignment
39/2013 - Ieva, F.; Marra, G.; Paganoni, A.M.; Radice, R.
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients
33/2013 - Menafoglio, A; Guadagnini, A; Secchi, P
A Kriging Approach based on Aitchison Geometry for the Characterization of Particle-Size Curves in Heterogeneous Aquifers
31/2013 - Dassi, F.; Ettinger, B.; Perotto, S.; Sangalli, L.M.
A mesh simplification strategy for a spatial regression analysis over the cortical surface of the brain
28/2013 - Ekin, T.; Ieva, F.; Ruggeri, F.; Soyer, R.
Statistical Issues in Medical Fraud Assessment
26/2013 - Ieva, F.; Paganoni, A.M.
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
23/2013 - Sørensen, H.; Goldsmith, J.; Sangalli, L.M.
An introduction with medical applications to functional data analysis
20/2013 - Azzimonti, L.; Nobile, F.; Sangalli, L.M.; Secchi, P.
Mixed Finite Elements for spatial regression with PDE penalization
19/2013 - Azzimonti, L.; Sangalli, L.M.; Secchi, P.; Domanin, M.; Nobile, F.
Blood flow velocity field estimation via spatial regression with PDE penalization
13/2013 - Pini, A.; Vantini, S.
The Interval Testing Procedure: Inference for Functional Data Controlling the Family Wise Error Rate on Intervals.
56/2012 - Ieva, F.; Paganoni, A.M.
Risk Prediction for Myocardial Infarction via Generalized Functional Regression Models
54/2012 - Ettinger, B., Perotto, S.; Sangalli, L.M.
Spatial regression models over two-dimensional manifolds
48/2012 - Ghiglietti, A.; Paganoni, A.M.
Statistical properties of two-color randomly reinforced urn design targeting fixed allocations
43/2012 - Secchi, P.; Vantini, S.; Vitelli, V.
A Case Study on Spatially Dependent Functional Data: the Analysis of Mobile Network Data for the Metropolitan Area of Milan
39/2012 - Ieva, F.; Paganoni, A.M.; Ziller, S.
Operational risk management: a statistical perspective
35/2012 - Pigoli, D.; Aston, J.A.D.; Dryden, I.L.; Secchi, P.
Distances and Inference for Covariance Functions
34/2012 - Menafoglio, A.; Dalla Rosa, M.; Secchi, P.
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space
27/2012 - Pigoli, D.; Secchi,P.
Estimation of the mean for spatially dependent data belonging to a Riemannian manifold
25/2012 - Manfredini, F.; Pucci, P.; Secchi, P.; Tagliolato, P.; Vantini, S.; Vitelli, V.
Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region
22/2012 - Ettinger, B.; Passerini, T.;Perotto, S.; Sangalli, L.M.
Regression models for data distributed over non-planar domains
21/2012 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Ruggeri, F.; Soriano, J.
Semiparametric Bayesian models for clustering and classification in presence of unbalanced in-hospital survival
20/2012 - Ieva, F.; Paganoni, A. M.; Zanini, P.
Statistical models for detecting Atrial Fibrillation events
12/2012 - Guglielmi, A.; Ieva, F.; Paganoni, A.M.; Ruggeri, F.
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
08/2012 - Sangalli, L.M.; Ramsay, J.O.; Ramsay, T.O.
Spatial Spline Regression Models
37/2011 - Ieva, F.; Paganoni, A.M.
Depth Measures For Multivariate Functional Data
32/2011 - Aletti, G; Ghiglietti, A; Paganoni, A.
A modified randomly reinforced urn design
26/2011 - Secchi, P.; Vantini, S.; Vitelli, V.
Bagging Voronoi classifiers for clustering spatial functional data
22/2011 - Azzimonti, L.; Ieva, F.; Paganoni, A.M.
Nonlinear nonparametric mixed-effects models for unsupervised classification
19/2011 - Passerini, T.; Sangalli, L.; Vantini, S.; Piccinelli, M.; Bacigaluppi, S.; Antiga, L.; Boccardi, E.; Secchi, P.; Veneziani, A.
An Integrated Statistical Investigation of the Internal Carotid Arteries hosting Cerebral Aneurysms
09/2011 - Pigoli, D.; Sangalli, L.
Wavelets in Functional Data Analysis: estimation of multidimensional curves and their derivatives
08/2011 - Ieva, F.; Paganoni, A.M.; Secchi, P.
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses
06/2011 - Secchi, P.; Stamm, A.; Vantini, S.
Large p Small n Data: Inference for the Mean
04/2011 - Ieva, F.; Paganoni, A.M.; Pigoli, D.; Vitelli, V.
Multivariate functional clustering for the analysis of ECG curves morphology
01/2011 - Dalla Rosa, M.; Sangalli, L. M.; Vantini, S.
Dimensional Reduction of Functional Data by means of Principal Differential Analysis
42/2010 - Baraldo, S.; Ieva, F.; Paganoni, A. M.; Vitelli, V.
Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients
38/2010 - Flournoy, N.; May, C.; Secchi, P.
Response-adaptive designs in clinical trials for targeting the best treatment: an overview
26/2010 - Ieva, Francesca; Paganoni, Anna Maria
Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes
21/2010 - Grieco, Niccolò; Ieva, Francesca; Paganoni, Anna Maria
Provider Profiling Using Mixed Effects Models on a Case Study concerning STEMI Patients
17/2010 - Guglielmi, Alessandra; Ieva, Francesca; Paganoni, Anna Maria; Ruggeri, Fabrizio
A Bayesian random-effects model for survival probabilities after acute myocardial infarction
09/2010 - Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
Joint Clustering and Alignment of Functional Data: an Application to Vascular Geometries
08/2010 - Ieva, Francesca; Paganoni, Anna Maria
Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI^2 survey
07/2010 - Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
Functional clustering and alignment methods with applications
02/2010 - Barbieri, P.; Grieco, N.; Ieva, F.; Paganoni, A. M.; Secchi, P.
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region
33/2009 - Vantini, Simone
On the Definition of Phase and Amplitude Variability in Functional Data Analysis
24/2009 - Di Maio, Francesco; Secchi, Piercesare; Vantini, Simone; Zio, Enrico
Optimized Fuzzy C-Means Clustering and Functional Principal Components for Post-Processing Dynamic Scenarios in the Reliability Analysis of a Nuclear System
21/2009 - Bonaventura, Luca; Castruccio, Stefano; Sangalli, Laura M.
A Bayesian approach to geostatistical interpolation with exible variogram models
20/2009 - Accoto, Nadia; Rydén, Tobias; secchi, Piercesare
Bayesian hidden Markov models for performance-based regulation of continuity of electricity supply
16/2009 - Aletti, Giacomo; May, Caterina; Secchi, Piercesare
A functional equation whose unknown is P ([0, 1]) valued
05/2009 - Ieva, Francesca; Paganoni, Anna Maria
A case study on treatment times in patients with ST-Segment Elevation Myocardial Infarction
26/2008 - Aletti, Giacomo; May, Caterina; Secchi, Piercesare
A Central Limit Theorem, and related results, for two-color randomly reinforced urn
13/2008 - Sangalli, Laura Maria; Secchi, Piercesare; Vantini, Simone; Vitelli, Valeria
K-means alignment for curve clustering
10/2008 - Grieco, Niccolò; Corrada, Elena; Sesana, Giovanni; Fontana, Giancarlo; Lombardi, Federico; Ieva, Francesca; Paganoni, Anna Maria; Marzegalli, Maurizio
Predictors of the reduction of treatment time for ST-segment elevation myocardial infarction in a complex urban reality. The MoMi2 survey
9/2008 - Secchi, Piercesare; Zio, Enrico; Di Maio, Francesco
Quantifying Uncertainties in the Estimation of Safety Parameters by Using Bootstrapped Artificial Neural Networks
6/2008 - Fumagalli, E.; Lo Schiavo, L.; Paganoni, A. M.; Secchi, P.
Statistical analyses of exceptional events: the Italian experience
26/2007 - Colecchia, Maurizio; Nicolai, Nicola; Secchi, Piercesare; Bandieramonte, Gaetano; Paganoni, Anna M.; Sangalli , Laura M.; Piva, Luigi; Salvioni, Roberto
Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience
24/2007 - Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Veneziani, Alessandro
A Case Study in Functional Data Analisys: Geometrical Features of the Internal Carotid Artery
23/2007 - Sangalli, Laura M.; Secchi, Piercesare; Vantini, Simone; Veneziani, Alessandro
Efficient estimation of 3-dimensional centerlines of inner carotid arteries and their curvature functions by free knot regression splines
22/2007 - Roberts, Gareth O.; Sangalli, Laura M.
Latent diffusion models for event history analysis
MOX 74 - Aletti, G.; May, C.; Secchi, Piercesare
On the distribution of the limit proportion for a two-color, randomly reinforced urn with equal reinforcement distributions
MOXP5 - Olgiati, Emanuela; Paglieri, Luca; Salvati, Simonetta; Secchi, Piercesare
Storia di un Caso: Intervalli di Confidenza per una Proporzione per la regolazione della qualità del servizio nel settore energetico nazionale
MOX 65 - Paganoni, Anna Maria; Secchi, Piercesare
A numerical study for comparing two response-adaptive designs for continuous treatment effects
MOX41 - Muliere, Pietro; Paganoni, Anna Maria; Secchi, Piercesare
A two-color, randomly reinforced urn
MOX 38 - Fumagalli, Elena; Lo Schiavo,Luca; Salvati, Simonetta; Secchi,Piercesare
Statistical Identification of Major Event Days: An Application to Continuity Of Supply Regulation In Italy
MOXD01 - Paganoni, Anna Maria; Pontiggia, Laura
Laboratorio informatico di Statistica Matematica su supporto Excel
MOX28 - Secchi, Piercesare
A game between two Bayesians for estimating the mean of a Gaussian distribution
MOX 23 - Paganoni, Anna Maria; Secchi Piercesare
Interacting reinforced urn systems