Paola Zuccolotto - researchr alias

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Viewing Publication 1 - 18 from 18

2023

Filtering active moments in basketball games using data from players tracking systemsTullio Facchinetti, Rodolfo Metulini, Paola Zuccolotto. anor, 325(1):521-538, June 2023. [doi]

Dynamic time series clustering with multivariate linkage and automatic dendrogram cutting using a recursive partitioning algorithmGiovanni De Luca, Paola Zuccolotto. isci, 649:119605, November 2023. [doi]

Spatial performance analysis in basketball with CART, random forest and extremely randomized treesPaola Zuccolotto, Marco Sandri, Marica Manisera. anor, 325(1):495-519, June 2023. [doi]

2021

Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approachGiovanni De Luca, Paola Zuccolotto. ijar, 139:88-103, 2021. [doi]

Regime dependent interconnectedness among fuzzy clusters of financial time seriesGiovanni De Luca, Paola Zuccolotto. adac, 15(2):315-336, 2021. [doi]

2019

Discussion of "The class of cub models: statistical foundations, inferential issues and empirical evidence" by Domenico Piccolo and Rosaria SimoneMarica Manisera, Paola Zuccolotto. sma, 28(3):465-470, 2019. [doi]

2017

Estimation of nonlinear CUB models via numerical optimization and EM algorithmMarica Manisera, Paola Zuccolotto. cssc, 46(7):5723-5739, 2017. [doi]

2015

Identifiability of a model for discrete frequency distributions with a multidimensional parameter spaceMarica Manisera, Paola Zuccolotto. ma, 140:302-316, 2015. [doi]

2014

Modeling "don't know" responses in rating scalesMarica Manisera, Paola Zuccolotto. prl, 45:226-234, 2014. [doi]

Modeling rating data with Nonlinear CUB modelsMarica Manisera, Paola Zuccolotto. csda, 78:100-118, 2014. [doi]

2012

Sensory analysis in the food industry as a tool for marketing decisionsMaria Iannario, Marica Manisera, Domenico Piccolo, Paola Zuccolotto. adac, 6(4):303-321, 2012. [doi]

2011

A tail dependence-based dissimilarity measure for financial time series clusteringGiovanni De Luca, Paola Zuccolotto. adac, 5(4):323-340, 2011. [doi]

Symbolic missing data imputation in principal component analysisPaola Zuccolotto. sadm, 4(2):171-183, 2011. [doi]

2010

Combining random forest and copula functions: A heuristic approach for selecting assets from a financial crisis perspectiveGiovanni De Luca, Giorgia Rivieccio, Paola Zuccolotto. isafm, 17(2):91-109, 2010. [doi]

Analysis and correction of bias in Total Decrease in Node Impurity measures for tree-based algorithmsMarco Sandri, Paola Zuccolotto. sac, 20(4):393-407, 2010. [doi]

Evaluating the impact of a grouping variable on Job Satisfaction driversPaola Zuccolotto. sma, 19(2):287-305, 2010. [doi]

2007

Principal components of sample estimates: an approach through symbolic data analysisPaola Zuccolotto. sma, 16(2):173-192, 2007. [doi]

2006

Regime-switching Pareto distributions for ACD modelsGiovanni De Luca, Paola Zuccolotto. csda, 51(4):2179-2191, 2006. [doi]

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