Hierarchical Clustering by Means of Model Grouping. - Claudio Agostinelli; Paolo Pellizzari (GfKl, 2005)

Robust estimation for circular data. - Claudio Agostinelli (Comput. Stat. Data Anal., 2007)

Robust Model Selection with LARS Based on S-estimators. - Claudio Agostinelli; Matías Salibián Barrera (COMPSTAT, 2010)

A weighted strategy to handle likelihood uncertainty in Bayesian inference. - Claudio Agostinelli; Luca Greco 004 (Comput. Stat., 2013)

Ordering Curves by Data Depth. - Claudio Agostinelli; Mario Romanazzi (Statistical Models for Data Analysis, 2013)

Robust Estimators of the Generalized Log-Gamma Distribution. - Claudio Agostinelli; Alfio Marazzi; Victor J. Yohai (Technometrics, 2014)

Robust Inference in Generalized Linear Models. - Fatemah Alqallaf; Claudio Agostinelli (Commun. Stat. Simul. Comput., 2016)

Robust estimators of accelerated failure time regression with generalized log-gamma errors. - Claudio Agostinelli; Isabella Locatelli; Alfio Marazzi; Victor J. Yohai (Comput. Stat. Data Anal., 2017)

Phylogenetic convolutional neural networks in metagenomics. - Diego Fioravanti; Ylenia Giarratano; Valerio Maggio; Claudio Agostinelli; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2018)

Local half-region depth for functional data. - Claudio Agostinelli (J. Multivar. Anal., 2018)

Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. - Claudio Agostinelli; Luca Greco 004 (Stat. Methods Appl., 2018)

Initial robust estimation in generalized linear models. - Claudio Agostinelli; Marina Valdora; Victor J. Yohai (Comput. Stat. Data Anal., 2019)

Network depth: identifying median and contours in complex networks. - Giulia Bertagnolli; Claudio Agostinelli; Manlio De Domenico (J. Complex Networks, 2020)

Weighted likelihood mixture modeling and model-based clustering. - Luca Greco 004; Claudio Agostinelli (Stat. Comput., 2020)

Estimation of parameters in multivariate wrapped models for data on a p -torus. - Anahita Nodehi; Mousa Golalizadeh; Mehdi Maadooliat; Claudio Agostinelli (Comput. Stat., 2021)

Temporally-Evolving Generalised Networks and their Reproducing Kernels. - Tobia Filosi; Claudio Agostinelli; Emilio Porcu (CoRR, 2023)

Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p -Torus Data. - Luca Greco 004; Pierluigi Novi Inverardi; Claudio Agostinelli (J. Comput. Graph. Stat., 2023)

nortsTest: An R Package for Assessing Normality of Stationary Processes. - Asael Alonzo Matamoros; Alicia Nieto-Reyes; Claudio Agostinelli (R J., 2025)

Torus Probabilistic Principal Component Analysis. - Anahita Nodehi; Mousa Golalizadeh; Mehdi Maadooliat; Claudio Agostinelli (J. Classif., 2025)