Linear Control Systems on Unbounded Time Intervals and Invariant Measures of Ornstein–Uhlenbeck Processes in Hilbert Spaces. - Marco Fuhrman; Anna Maria Paganoni (SIAM J. Control. Optim., 2003)

A numerical study for comparing two response-adaptive designs for continuous treatment effects. - Anna Maria Paganoni; Piercesare Secchi (Stat. Methods Appl., 2007)

Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. - Francesca Ieva; Anna Maria Paganoni; Paolo Zanini (Comput. Math. Methods Medicine, 2013)

Nonlinear nonparametric mixed-effects models for unsupervised classification. - Laura Azzimonti; Francesca Ieva; Anna Maria Paganoni (Comput. Stat., 2013)

Randomly Reinforced Urn Designs with Prespecified Allocations. - Giacomo Aletti; Andrea Ghiglietti; Anna Maria Paganoni (J. Appl. Probab., 2013)

Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fabrizio Ruggeri 001 (Statistical Models for Data Analysis, 2013)

A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients. - Francesca Ieva; Giampiero Marra; Anna Maria Paganoni; Rosalba Radice (Comput. Math. Methods Medicine, 2014)

Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert. - Francesca Ieva; Anna Maria Paganoni (Stat. Methods Appl., 2015)

Covariance-based Clustering in Multivariate and Functional Data Analysis. - Francesca Ieva; Anna Maria Paganoni; Nicholas Tarabelloni (J. Mach. Learn. Res., 2016)

An urn model to construct an efficient test procedure for response adaptive designs. - Andrea Ghiglietti; Anna Maria Paganoni (Stat. Methods Appl., 2016)

Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model. - Tommaso Agasisti; Francesca Ieva; Anna Maria Paganoni (Stat. Methods Appl., 2017)

SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data. - Manuel Domínguez 002; Ramón Vilanova; Miguel A. Prada; José López Vicario; Marian Barbu; Maria João Varanda Pereira; Michal Podpora; Umberto Spagnolini; Paulo Alves; Anna Maria Paganoni (LASI-SPAIN, 2018)

A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fernando A. Quintana (Adv. Data Anal. Classif., 2018)

roahd Package: Robust Analysis of High Dimensional Data. - Francesca Ieva; Anna Maria Paganoni; Juan Romo; Nicholas Tarabelloni (R J., 2019)

Marked point process models for the admissions of heart failure patients. - Luca Mancini; Anna Maria Paganoni (Stat. Anal. Data Min., 2019)

Multivariate Hidden Markov Models for disease progression. - Andrea Martino; Giuseppina Guatteri; Anna Maria Paganoni (Stat. Anal. Data Min., 2020)

Learning High-Order Interactions via Targeted Pattern Search. - Michela Carlotta Massi; Nicola R. Franco; Francesca Ieva; Andrea Manzoni; Anna Maria Paganoni; Paolo Zunino (CoRR, 2021)

Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients. - Chiara Masci; Francesca Ieva; Tommaso Agasisti; Anna Maria Paganoni (Comput. Stat., 2021)

Performing Learning Analytics via Generalised Mixed-Effects Trees. - Luca Fontana; Chiara Masci; Francesca Ieva; Anna Maria Paganoni (Data, 2021)

Generalized mixed-effects random forest: A flexible approach to predict university student dropout. - Massimo Pellagatti; Chiara Masci; Francesca Ieva; Anna Maria Paganoni (Stat. Anal. Data Min., 2021)

Feature selection for imbalanced data with deep sparse autoencoders ensemble. - Michela Carlotta Massi; Francesca Gasperoni; Francesca Ieva; Anna Maria Paganoni (Stat. Anal. Data Min., 2022)

Integrated Depths for Partially Observed Functional Data. - Antonio Elías; Raúl Jiménez; Anna Maria Paganoni; Laura M. Sangalli (J. Comput. Graph. Stat., 2023)

Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects. - Chiara Masci; Francesca Ieva; Anna Maria Paganoni (J. Classif., 2024)