Regime-switching Pareto distributions for ACD models. - Giovanni De Luca; Paola Zuccolotto (Comput. Stat. Data Anal., 2006)

Principal components of sample estimates: an approach through symbolic data analysis. - Paola Zuccolotto (Stat. Methods Appl., 2007)

Combining random forest and copula functions: A heuristic approach for selecting assets from a financial crisis perspective. - Giovanni De Luca; Giorgia Rivieccio; Paola Zuccolotto (Intell. Syst. Account. Finance Manag., 2010)

Analysis and correction of bias in Total Decrease in Node Impurity measures for tree-based algorithms. - Marco Sandri; Paola Zuccolotto (Stat. Comput., 2010)

Evaluating the impact of a grouping variable on Job Satisfaction drivers. - Paola Zuccolotto (Stat. Methods Appl., 2010)

A tail dependence-based dissimilarity measure for financial time series clustering. - Giovanni De Luca; Paola Zuccolotto (Adv. Data Anal. Classif., 2011)

Symbolic missing data imputation in principal component analysis. - Paola Zuccolotto (Stat. Anal. Data Min., 2011)

Sensory analysis in the food industry as a tool for marketing decisions. - Maria Iannario; Marica Manisera; Domenico Piccolo; Paola Zuccolotto (Adv. Data Anal. Classif., 2012)

Modeling rating data with Nonlinear CUB models. - Marica Manisera; Paola Zuccolotto (Comput. Stat. Data Anal., 2014)

Modeling "don't know" responses in rating scales. - Marica Manisera; Paola Zuccolotto (Pattern Recognit. Lett., 2014)

Identifiability of a model for discrete frequency distributions with a multidimensional parameter space. - Marica Manisera; Paola Zuccolotto (J. Multivar. Anal., 2015)

Estimation of nonlinear CUB models via numerical optimization and EM algorithm. - Marica Manisera; Paola Zuccolotto (Commun. Stat. Simul. Comput., 2017)

Discussion of "The class of cub models: statistical foundations, inferential issues and empirical evidence" by Domenico Piccolo and Rosaria Simone. - Marica Manisera; Paola Zuccolotto (Stat. Methods Appl., 2019)

Regime dependent interconnectedness among fuzzy clusters of financial time series. - Giovanni De Luca; Paola Zuccolotto (Adv. Data Anal. Classif., 2021)

Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approach. - Giovanni De Luca; Paola Zuccolotto (Int. J. Approx. Reason., 2021)

Filtering active moments in basketball games using data from players tracking systems. - Tullio Facchinetti; Rodolfo Metulini; Paola Zuccolotto (Ann. Oper. Res., 2023)

Spatial performance analysis in basketball with CART, random forest and extremely randomized trees. - Paola Zuccolotto; Marco Sandri; Marica Manisera (Ann. Oper. Res., 2023)

Dynamic time series clustering with multivariate linkage and automatic dendrogram cutting using a recursive partitioning algorithm. - Giovanni De Luca; Paola Zuccolotto (Inf. Sci., 2023)

Scoring probability maps in the basketball court with Indicator Kriging estimation. - Mirko Luigi Carlesso; Andrea Cappozzo; Marica Manisera; Paola Zuccolotto (Comput. Stat., 2025)

Editorial: special issue on sports data science. - Pierpaolo D'Urso; Michele Gallo; Paola Zuccolotto (Comput. Stat., 2025)