More Powerful Control of the False Discovery Rate Under Dependence. - Alessio Farcomeni (Stat. Methods Appl., 2006)

Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments. - Marco Alfò; Alessio Farcomeni; Luca Tardella (Comput. Stat. Data Anal., 2007)

Robust Double Clustering: A Method Based on Alternating Concentration Steps. - Alessio Farcomeni (J. Classif., 2009)

An exact approach to sparse principal component analysis. - Alessio Farcomeni (Comput. Stat., 2009)

A two-component Weibull mixture to model early and late mortality in a Bayesian framework. - Alessio Farcomeni; Alessandra Nardi (Comput. Stat. Data Anal., 2010)

Error rates for multivariate outlier detection. - Andrea Cerioli; Alessio Farcomeni (Comput. Stat. Data Anal., 2011)

Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data. - Francesco Bartolucci; Luisa Scaccia; Alessio Farcomeni (Comput. Stat. Data Anal., 2012)

Quantile regression for longitudinal data based on latent Markov subject-specific parameters. - Alessio Farcomeni (Stat. Comput., 2012)

Modelling work history patterns in the Italian labour market. - Elena Fabrizi; Alessio Farcomeni; Valerio Gatta (Stat. Methods Appl., 2012)

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

Snipping for robust k-means clustering under component-wise contamination. - Alessio Farcomeni (Stat. Comput., 2014)

Robust Constrained Clustering in Presence of Entry-Wise Outliers. - Alessio Farcomeni (Technometrics, 2014)

S-estimation of hidden Markov models. - Alessio Farcomeni; Luca Greco 004 (Comput. Stat., 2015)

Information matrix for hidden Markov models with covariates. - Francesco Bartolucci; Alessio Farcomeni (Stat. Comput., 2015)

Robust Fuzzy Clustering via Trimming and Constraints. - Francesco Dotto; Alessio Farcomeni; Luis Angel García-Escudero; Agustín Mayo-Íscar (SMPS, 2016)

A fuzzy approach to robust regression clustering. - Francesco Dotto; Alessio Farcomeni; Luis Angel García-Escudero; Agustín Mayo-Íscar (Adv. Data Anal. Classif., 2017)

A reweighting approach to robust clustering. - Francesco Dotto; Alessio Farcomeni; Luis Angel García-Escudero; Agustín Mayo-Íscar (Stat. Comput., 2018)

Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy. - Giulia Barbati; Alessio Farcomeni (Stat. Methods Appl., 2018)

The power of (extended) monitoring in robust clustering - 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. - Alessio Farcomeni; Francesco Dotto (Stat. Methods Appl., 2018)

Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections. - Giampiero Marra; Alessio Farcomeni; Rosalba Radice (Comput. Stat. Data Anal., 2021)

Directional Quantile Classifiers. - Alessio Farcomeni; Marco Geraci; Cinzia Viroli (J. Comput. Graph. Stat., 2022)

Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers. - Edoardo Redivo; Cinzia Viroli; Alessio Farcomeni (Stat. Comput., 2023)

The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. - Luca Bagnato; Alessio Farcomeni; Antonio Punzo (Stat. Anal. Data Min., 2024)

Quantile ratio regression. - Alessio Farcomeni; Marco Geraci (Stat. Comput., 2024)

PDE-regularised spatial quantile regression. - Cristian Castiglione; Eleonora Arnone; Mauro Bernardi; Alessio Farcomeni; Laura M. Sangalli (J. Multivar. Anal., 2025)

Exact score and information matrix for panel hidden semi-Markov models. - Alessio Farcomeni (Stat. Comput., 2025)