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Andrea Cerioli
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2020 – today
- 2024
- [j27]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 18 (2024). Adv. Data Anal. Classif. 18(2): 245-249 (2024) - [j26]Paula Brito, Andrea Cerioli, Luis Angel García-Escudero, Gilbert Saporta:
Special issue on "New methodologies in clustering and classification for complex and/or big data". Adv. Data Anal. Classif. 18(3): 539-543 (2024) - [j25]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 18 (2024). Adv. Data Anal. Classif. 18(4): 823-826 (2024) - 2023
- [j24]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 17 (2023). Adv. Data Anal. Classif. 17(1): 1-4 (2023) - [j23]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 17 (2023). Adv. Data Anal. Classif. 17(2): 287-290 (2023) - [j22]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 17 (2023). Adv. Data Anal. Classif. 17(3): 545-548 (2023) - [j21]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 17 (2023). Adv. Data Anal. Classif. 17(4): 823-827 (2023) - [j20]Lucio Barabesi, Andrea Cerioli, Luis Angel García-Escudero, Agustín Mayo-Íscar:
Consistency factor for the MCD estimator at the Student-t distribution. Stat. Comput. 33(6): 132 (2023) - 2021
- [j19]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 15 (2021). Adv. Data Anal. Classif. 15(1): 1-4 (2021) - [j18]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 15 (2021). Adv. Data Anal. Classif. 15(2): 261-265 (2021) - [j17]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 15 (2021). Adv. Data Anal. Classif. 15(3): 543-546 (2021) - [j16]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 15 (2021). Adv. Data Anal. Classif. 15(4): 825-828 (2021) - 2020
- [j15]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 14 (2020). Adv. Data Anal. Classif. 14(3): 513-515 (2020)
2010 – 2019
- 2019
- [j14]Francesca Torti, Domenico Perrotta, Marco Riani, Andrea Cerioli:
Assessing trimming methodologies for clustering linear regression data. Adv. Data Anal. Classif. 13(1): 227-257 (2019) - [j13]Marco Riani, Anthony C. Atkinson, Andrea Cerioli, Aldo Corbellini:
Efficient robust methods via monitoring for clustering and multivariate data analysis. Pattern Recognit. 88: 246-260 (2019) - 2018
- [j12]Andrea Cerioli, Marco Riani, Anthony C. Atkinson, Aldo Corbellini:
The power of monitoring: how to make the most of a contaminated multivariate sample. Stat. Methods Appl. 27(4): 559-587 (2018) - [j11]Andrea Cerioli, Marco Riani, Anthony C. Atkinson, Aldo Corbellini:
Rejoinder to the discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27(4): 661-666 (2018) - 2016
- [j10]Lucio Barabesi, Andrea Cerasa, Domenico Perrotta, Andrea Cerioli:
Modeling international trade data with the Tweedie distribution for anti-fraud and policy support. Eur. J. Oper. Res. 248(3): 1031-1043 (2016) - 2015
- [j9]Marco Riani, Andrea Cerioli, Domenico Perrotta, Francesca Torti:
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. Adv. Data Anal. Classif. 9(4): 461-481 (2015) - 2014
- [j8]Andrea Cerioli, Domenico Perrotta:
Robust clustering around regression lines with high density regions. Adv. Data Anal. Classif. 8(1): 5-26 (2014) - [j7]Andrea Cerioli, Alessio Farcomeni, Marco Riani:
Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter. J. Multivar. Anal. 126: 167-183 (2014) - 2013
- [j6]Andrea Cerioli, Alessio Farcomeni, Marco Riani:
Robust distances for outlier-free goodness-of-fit testing. Comput. Stat. Data Anal. 65: 29-45 (2013) - [c5]Anthony C. Atkinson, Andrea Cerioli, Gianluca Morelli, Marco Riani:
Finding the Number of Disparate Clusters with Background Contamination. ECDA 2013: 29-42 - [p1]Andrea Cerioli, Marco Riani, Francesca Torti:
Size and Power of Multivariate Outlier Detection Rules. Algorithms from and for Nature and Life 2013: 3-17 - 2012
- [j5]Andrea Cerioli:
Editorial. Stat. Methods Appl. 21(3): 249-250 (2012) - [c4]Marco Turchi, Domenico Perrotta, Marco Riani, Andrea Cerioli:
Robustness Issues in Text Mining. SMPS 2012: 263-272 - 2011
- [j4]Andrea Cerioli, Alessio Farcomeni:
Error rates for multivariate outlier detection. Comput. Stat. Data Anal. 55(1): 544-553 (2011) - 2010
- [j3]Marco Riani, Andrea Cerioli, Peter J. Rousseeuw:
Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. Adv. Data Anal. Classif. 4(2-3): 85-87 (2010)
2000 – 2009
- 2009
- [j2]Andrea Cerioli, Marco Riani, Anthony C. Atkinson:
Controlling the size of multivariate outlier tests with the MCD estimator of scatter. Stat. Comput. 19(3): 341-353 (2009) - 2007
- [j1]Marco Riani, Andrea Cerioli, Bruno Chiandotto:
Special issue on robust multivariate analysis and classification. Stat. Methods Appl. 15(3): 267-269 (2007) - [c3]Marco Riani, Andrea Cerioli, Anthony C. Atkinson, Domenico Perrotta, Francesca Torti:
Fitting Mixtures of Regression Lines with the Forward Search. NATO ASI Mining Massive Data Sets for Security 2007: 271-286 - 2006
- [c2]Fabrizio Laurini, Andrea Cerioli:
Automatic Classification of Functional Data with Extremal Information. GfKl 2006: 99-106 - 2005
- [c1]Andrea Cerioli, Marco Riani:
Robust Transformations and Outlier Detection with Autocorrelated Data. GfKl 2005: 262-269
Coauthor Index
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