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2020 – today
- 2024
[j7]Luca Benedetti, Eric Boniardi, Leonardo Chiani
, Jacopo Ghirri, Marta Mastropietro, Andrea Cappozzo, Francesco Denti:
Variational inference for semiparametric Bayesian novelty detection in large datasets. Adv. Data Anal. Classif. 18(3): 681-703 (2024)- 2023
- [j6]Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Íscar:
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model. J. Comput. Graph. Stat. 32(3): 1195-1214 (2023) - 2022
- [j5]Alessandro Casa, Andrea Cappozzo, Michael Fop:
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering. J. Classif. 39(3): 648-674 (2022) - [j4]Francesco Denti, Andrea Cappozzo, Francesca Greselin:
Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information. Stat. Comput. 32(1): 18 (2022) - 2021
- [j3]Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy:
Robust variable selection for model-based learning in presence of adulteration. Comput. Stat. Data Anal. 158: 107186 (2021) - [j2]Francesco Denti, Andrea Cappozzo, Francesca Greselin:
A two-stage Bayesian semiparametric model for novelty detection with robust prior information. Stat. Comput. 31(4): 42 (2021) - 2020
- [j1]Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy:
A robust approach to model-based classification based on trimming and constraints. Adv. Data Anal. Classif. 14(2): 327-354 (2020)
Coauthor Index
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