Robust Diagnostic Data Analysis: Transformations in Regression. - Marco Riani; Anthony C. Atkinson (Technometrics, 2000)

Robust Time Series Analysis through the Forward Search. - Luigi Grossi; Marco Riani (COMPSTAT, 2002)

The forward search and data visualisation. - Anthony C. Atkinson; Marco Riani (Comput. Stat., 2004)

Robust Transformations and Outlier Detection with Autocorrelated Data. - Andrea Cerioli; Marco Riani (GfKl, 2005)

Fitting Mixtures of Regression Lines with the Forward Search. - Marco Riani; Andrea Cerioli; Anthony C. Atkinson; Domenico Perrotta; Francesca Torti (NATO ASI Mining Massive Data Sets for Security, 2007)

Fast calibrations of the forward search for testing multiple outliers in regression. - Marco Riani; Anthony C. Atkinson (Adv. Data Anal. Classif., 2007)

Building Regression Models with the Forward Search. - Anthony C. Atkinson; Marco Riani (J. Comput. Inf. Technol., 2007)

Exploratory tools for clustering multivariate data. - Anthony C. Atkinson; Marco Riani (Comput. Stat. Data Anal., 2007)

Special issue on robust multivariate analysis and classification. - Marco Riani; Andrea Cerioli; Bruno Chiandotto (Stat. Methods Appl., 2007)

New robust dynamic plots for regression mixture detection. - Domenico Perrotta; Marco Riani; Francesca Torti (Adv. Data Anal. Classif., 2009)

Controlling the size of multivariate outlier tests with the MCD estimator of scatter. - Andrea Cerioli; Marco Riani; Anthony C. Atkinson (Stat. Comput., 2009)

Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. - Marco Riani; Andrea Cerioli; Peter J. Rousseeuw (Adv. Data Anal. Classif., 2010)

Robust model selection with flexible trimming. - Marco Riani; Anthony C. Atkinson (Comput. Stat. Data Anal., 2010)

Robustness Issues in Text Mining. - Marco Turchi; Domenico Perrotta; Marco Riani; Andrea Cerioli (SMPS, 2012)

Robust analysis of default intensity. - Tiziano Bellini; Marco Riani (Comput. Stat. Data Anal., 2012)

Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. - Francesca Torti; Domenico Perrotta; Anthony C. Atkinson; Marco Riani (Comput. Stat. Data Anal., 2012)

Finding the Number of Disparate Clusters with Background Contamination. - Anthony C. Atkinson; Andrea Cerioli; Gianluca Morelli; Marco Riani (ECDA, 2013)

Robust distances for outlier-free goodness-of-fit testing. - Andrea Cerioli; Alessio Farcomeni; Marco Riani (Comput. Stat. Data Anal., 2013)

Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin. - Marco Riani; Anthony C. Atkinson; Giulio Fanti; Fabio Crosilla (Stat. Comput., 2013)

Size and Power of Multivariate Outlier Detection Rules. - Andrea Cerioli; Marco Riani; Francesca Torti (Algorithms from and for Nature and Life, 2013)

Issues on Clustering and Data Gridding. - Jukka Heikkonen; Domenico Perrotta; Marco Riani; Francesca Torti (Classification and Data Mining, 2013)

Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter. - Andrea Cerioli; Alessio Farcomeni; Marco Riani (J. Multivar. Anal., 2014)

Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. - Marco Riani; Andrea Cerioli; Domenico Perrotta; Francesca Torti (Adv. Data Anal. Classif., 2015)

Hubert, Rousseeuw and Segaert: multivariate functional outlier detection. - Aldo Corbellini; Marco Riani; Anthony C. Atkinson (Stat. Methods Appl., 2015)

Robust methods for heteroskedastic regression. - Anthony C. Atkinson; Marco Riani; Francesca Torti (Comput. Stat. Data Anal., 2016)

The power of monitoring: how to make the most of a contaminated multivariate sample. - Andrea Cerioli; Marco Riani; Anthony C. Atkinson; Aldo Corbellini (Stat. Methods Appl., 2018)

Rejoinder to the discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". - Andrea Cerioli; Marco Riani; Anthony C. Atkinson; Aldo Corbellini (Stat. Methods Appl., 2018)

Assessing trimming methodologies for clustering linear regression data. - Francesca Torti; Domenico Perrotta; Marco Riani; Andrea Cerioli (Adv. Data Anal. Classif., 2019)

Efficient robust methods via monitoring for clustering and multivariate data analysis. - Marco Riani; Anthony C. Atkinson; Andrea Cerioli; Aldo Corbellini (Pattern Recognit., 2019)

Statistical and Proactive Analysis of an Inter-Laboratory Comparison: The Radiocarbon Dating of the Shroud of Turin. - Paolo Di Lazzaro; Anthony C. Atkinson; Paola Iacomussi; Marco Riani; Marco Ricci; Peter Wadhams (Entropy, 2020)

Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis. - Marco Riani; Anthony C. Atkinson; Aldo Corbellini; Domenico Perrotta (Entropy, 2020)

Model-based clustering with determinant-and-shape constraint. - Luis Angel García-Escudero; Agustín Mayo-Íscar; Marco Riani (Stat. Comput., 2020)

Constrained parsimonious model-based clustering. - Luis Angel García-Escudero; Agustín Mayo-Íscar; Marco Riani (Stat. Comput., 2022)

On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. - Volodymyr Melnykov; Yang Wang; Yana Melnykov; Francesca Torti; Domenico Perrotta; Marco Riani (J. Comput. Graph. Stat., 2024)

Robust Transformations for Multiple Regression via Additivity and Variance Stabilization. - Marco Riani; Anthony C. Atkinson; Aldo Corbellini (J. Comput. Graph. Stat., 2024)

Robust machine learning models: linear and nonlinear. - Paolo Giudici; Emanuela Raffinetti; Marco Riani (Int. J. Data Sci. Anal., 2025)