Freitas, Adelaide; Macedo, Eloísa; Vichi, Maurizio An empirical comparison of two approaches for CDPCA in high-dimensional data. (English) Zbl 1480.62116 Stat. Methods Appl. 30, No. 3, 1007-1031 (2021). MSC: 62H25 62-08 62H30 PDF BibTeX XML Cite \textit{A. Freitas} et al., Stat. Methods Appl. 30, No. 3, 1007--1031 (2021; Zbl 1480.62116) Full Text: DOI OpenURL
Torti, Francesca; Riani, Marco; Morelli, Gianluca Semiautomatic robust regression clustering of international trade data. (English) Zbl 1480.62242 Stat. Methods Appl. 30, No. 3, 863-894 (2021). MSC: 62P20 62F35 62H30 62J05 PDF BibTeX XML Cite \textit{F. Torti} et al., Stat. Methods Appl. 30, No. 3, 863--894 (2021; Zbl 1480.62242) Full Text: DOI OpenURL
Baesens, Bart; Höppner, Sebastiaan; Ortner, Irene; Verdonck, Tim RobROSE: a robust approach for dealing with imbalanced data in fraud detection. (English) Zbl 1480.62119 Stat. Methods Appl. 30, No. 3, 841-861 (2021). MSC: 62H30 62J12 68T10 PDF BibTeX XML Cite \textit{B. Baesens} et al., Stat. Methods Appl. 30, No. 3, 841--861 (2021; Zbl 1480.62119) Full Text: DOI arXiv OpenURL
Barabesi, Lucio (ed.); Cerioli, Andrea (ed.); Perrotta, Domenico (ed.) Forum on Benford’s law and statistical methods for the detection of frauds. (English) Zbl 1477.60006 Stat. Methods Appl. 30, No. 3, 767-778 (2021). MSC: 60-06 00B15 PDF BibTeX XML Cite \textit{L. Barabesi} (ed.) et al., Stat. Methods Appl. 30, No. 3, 767--778 (2021; Zbl 1477.60006) Full Text: DOI OpenURL
Greco, Luca; Lucadamo, Antonio; Agostinelli, Claudio Weighted likelihood latent class linear regression. (English) Zbl 1480.62144 Stat. Methods Appl. 30, No. 2, 711-746 (2021). MSC: 62J05 62F35 62H30 PDF BibTeX XML Cite \textit{L. Greco} et al., Stat. Methods Appl. 30, No. 2, 711--746 (2021; Zbl 1480.62144) Full Text: DOI OpenURL
Calissano, Anna; Vantini, Simone; Arena, Marika Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform. (English) Zbl 1458.62290 Stat. Methods Appl. 29, No. 4, 787-812 (2020). MSC: 62P25 62H30 62D20 PDF BibTeX XML Cite \textit{A. Calissano} et al., Stat. Methods Appl. 29, No. 4, 787--812 (2020; Zbl 1458.62290) Full Text: DOI OpenURL
Pennoni, Fulvia; Genge, Ewa Analysing the course of public trust via hidden Markov models: a focus on the Polish society. (English) Zbl 1456.62173 Stat. Methods Appl. 29, No. 2, 399-425 (2020). MSC: 62M05 62D20 62D10 62P25 PDF BibTeX XML Cite \textit{F. Pennoni} and \textit{E. Genge}, Stat. Methods Appl. 29, No. 2, 399--425 (2020; Zbl 1456.62173) Full Text: DOI OpenURL
Balzanella, Antonio; Irpino, Antonio Spatial prediction and spatial dependence monitoring on georeferenced data streams. (English) Zbl 1436.62697 Stat. Methods Appl. 29, No. 1, 101-128 (2020). MSC: 62P30 62R07 62M20 62H11 PDF BibTeX XML Cite \textit{A. Balzanella} and \textit{A. Irpino}, Stat. Methods Appl. 29, No. 1, 101--128 (2020; Zbl 1436.62697) Full Text: DOI OpenURL
Agresti, Alan; Kateri, Maria The class of CUB models: statistical foundations, inferential issues and empirical evidence. (English) Zbl 1435.62223 Stat. Methods Appl. 28, No. 3, 445-449 (2019). MSC: 62H30 62D20 PDF BibTeX XML Cite \textit{A. Agresti} and \textit{M. Kateri}, Stat. Methods Appl. 28, No. 3, 445--449 (2019; Zbl 1435.62223) Full Text: DOI OpenURL
Piccolo, Domenico; Simone, Rosaria The class of cub models: statistical foundations, inferential issues and empirical evidence. (English) Zbl 1435.62242 Stat. Methods Appl. 28, No. 3, 389-435 (2019). MSC: 62H30 62D20 PDF BibTeX XML Cite \textit{D. Piccolo} and \textit{R. Simone}, Stat. Methods Appl. 28, No. 3, 389--435 (2019; Zbl 1435.62242) Full Text: DOI OpenURL
Di Nardo, E.; Simone, R. A model-based fuzzy analysis of questionnaires. (English) Zbl 1427.62068 Stat. Methods Appl. 28, No. 2, 187-215 (2019). MSC: 62J86 03E72 62H30 62P99 PDF BibTeX XML Cite \textit{E. Di Nardo} and \textit{R. Simone}, Stat. Methods Appl. 28, No. 2, 187--215 (2019; Zbl 1427.62068) Full Text: DOI arXiv OpenURL
Farcomeni, Alessio; Dotto, Francesco The power of (extended) monitoring in robust clustering. Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”. (English) Zbl 1428.62223 Stat. Methods Appl. 27, No. 4, 651-660 (2018). MSC: 62H12 62J20 62H30 62H86 PDF BibTeX XML Cite \textit{A. Farcomeni} and \textit{F. Dotto}, Stat. Methods Appl. 27, No. 4, 651--660 (2018; Zbl 1428.62223) Full Text: DOI OpenURL
Cerioli, Andrea; Riani, Marco; Atkinson, Anthony C.; Corbellini, Aldo The power of monitoring: how to make the most of a contaminated multivariate sample. (English) Zbl 1427.62047 Stat. Methods Appl. 27, No. 4, 559-587 (2018). MSC: 62H12 62J20 62G35 62H30 62G32 62-02 PDF BibTeX XML Cite \textit{A. Cerioli} et al., Stat. Methods Appl. 27, No. 4, 559--587 (2018; Zbl 1427.62047) Full Text: DOI Link OpenURL
Yang, Chen; Jiang, Wenjun; Wu, Jiang; Liu, Xin; Li, Zhichuan Clustering of financial instruments using jump tail dependence coefficient. (English) Zbl 1427.62124 Stat. Methods Appl. 27, No. 3, 491-513 (2018). MSC: 62P05 62H30 62H05 60G51 PDF BibTeX XML Cite \textit{C. Yang} et al., Stat. Methods Appl. 27, No. 3, 491--513 (2018; Zbl 1427.62124) Full Text: DOI OpenURL
Wang, Wan-Lun; Liu, Min; Lin, Tsung-I Robust skew-\(t\) factor analysis models for handling missing data. (English) Zbl 1441.62161 Stat. Methods Appl. 26, No. 4, 649-672 (2017). MSC: 62H25 62D10 62H12 PDF BibTeX XML Cite \textit{W.-L. Wang} et al., Stat. Methods Appl. 26, No. 4, 649--672 (2017; Zbl 1441.62161) Full Text: DOI OpenURL
Elsaied, Hanan; Fried, Roland Tukey’s M-estimator of the Poisson parameter with a special focus on small means. (English) Zbl 1405.62034 Stat. Methods Appl. 25, No. 2, 191-209 (2016). MSC: 62F35 62F10 PDF BibTeX XML Cite \textit{H. Elsaied} and \textit{R. Fried}, Stat. Methods Appl. 25, No. 2, 191--209 (2016; Zbl 1405.62034) Full Text: DOI OpenURL
Iannario, Maria; Piccolo, Domenico A generalized framework for modelling ordinal data. (English) Zbl 1405.62101 Stat. Methods Appl. 25, No. 2, 163-189 (2016). MSC: 62J12 62F10 PDF BibTeX XML Cite \textit{M. Iannario} and \textit{D. Piccolo}, Stat. Methods Appl. 25, No. 2, 163--189 (2016; Zbl 1405.62101) Full Text: DOI OpenURL
Subedi, Sanjeena; Punzo, Antonio; Ingrassia, Salvatore; McNicholas, Paul D. Cluster-weighted \(t\)-factor analyzers for robust model-based clustering and dimension reduction. (English) Zbl 1416.62362 Stat. Methods Appl. 24, No. 4, 623-649 (2015). MSC: 62H30 PDF BibTeX XML Cite \textit{S. Subedi} et al., Stat. Methods Appl. 24, No. 4, 623--649 (2015; Zbl 1416.62362) Full Text: DOI OpenURL
Hubert, Mia; Rousseeuw, Peter J.; Segaert, Pieter Multivariate functional outlier detection. (English) Zbl 1441.62124 Stat. Methods Appl. 24, No. 2, 177-202 (2015). MSC: 62H05 62H12 62G35 62R10 PDF BibTeX XML Cite \textit{M. Hubert} et al., Stat. Methods Appl. 24, No. 2, 177--202 (2015; Zbl 1441.62124) Full Text: DOI OpenURL
Choulakian, Vartan; Simonetti, Biagio; Gia, Thu Pham Some new aspects of taxicab correspondence analysis. (English) Zbl 1332.62190 Stat. Methods Appl. 23, No. 3, 401-416 (2014). MSC: 62H25 PDF BibTeX XML Cite \textit{V. Choulakian} et al., Stat. Methods Appl. 23, No. 3, 401--416 (2014; Zbl 1332.62190) Full Text: DOI OpenURL
McNicholas, Paul D.; Browne, Ryan P.; Murray, Paula M. Discussion of ‘Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan. (English) Zbl 1332.62215 Stat. Methods Appl. 22, No. 4, 467-472 (2013). MSC: 62H30 62E10 62G07 62-07 62P05 62H35 PDF BibTeX XML Cite \textit{P. D. McNicholas} et al., Stat. Methods Appl. 22, No. 4, 467--472 (2013; Zbl 1332.62215) Full Text: DOI OpenURL
García-Escudero, L. A.; Gordaliza, A.; Mayo-Iscar, A. Comments on: “Model-based clustering and classification with non-normal mixture distributions”. (English) Zbl 1332.62206 Stat. Methods Appl. 22, No. 4, 459-461 (2013). MSC: 62H30 62E10 62G07 62-07 62P05 62H35 PDF BibTeX XML Cite \textit{L. A. García-Escudero} et al., Stat. Methods Appl. 22, No. 4, 459--461 (2013; Zbl 1332.62206) Full Text: DOI OpenURL
Hennig, Christian Discussion of “Model-based clustering with non-normal mixture distributions” by S. X. Lee and G. J. McLachlan. (English) Zbl 1332.62208 Stat. Methods Appl. 22, No. 4, 455-458 (2013). MSC: 62H30 62E10 62G07 62-07 62P05 62H35 PDF BibTeX XML Cite \textit{C. Hennig}, Stat. Methods Appl. 22, No. 4, 455--458 (2013; Zbl 1332.62208) Full Text: DOI OpenURL
De Angelis, Luca Latent class models for financial data analysis: some statistical developments. (English) Zbl 1332.91113 Stat. Methods Appl. 22, No. 2, 227-242 (2013). MSC: 91G70 91B84 PDF BibTeX XML Cite \textit{L. De Angelis}, Stat. Methods Appl. 22, No. 2, 227--242 (2013; Zbl 1332.91113) Full Text: DOI Link OpenURL