Alessio Farcomeni

According to our database, Alessio Farcomeni authored at least 26 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

PDE-regularised spatial quantile regression.

Cristian Castiglione, Eleonora Arnone, Mauro Bernardi, Alessio Farcomeni, Laura M. Sangalli

J. Multivar. Anal., 2025

2024

Quantile ratio regression.

Alessio Farcomeni, Marco Geraci

Stat. Comput., April, 2024

The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO.

Luca Bagnato, Alessio Farcomeni, Antonio Punzo

Stat. Anal. Data Min., February, 2024

2023

Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers.

Edoardo Redivo, Cinzia Viroli, Alessio Farcomeni

Stat. Comput., April, 2023

2022

Directional Quantile Classifiers.

Alessio Farcomeni, Marco Geraci, Cinzia Viroli

J. Comput. Graph. Stat., July, 2022

2021

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

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

Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy.

Giulia Barbati, Alessio Farcomeni

Stat. Methods Appl., 2018

A reweighting approach to robust clustering.

Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar

Stat. Comput., 2018

2017

A fuzzy approach to robust regression clustering.

Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar

Adv. Data Anal. Classif., 2017

2016

Robust Fuzzy Clustering via Trimming and Constraints.

Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar

Proceedings of the Soft Methods for Data Science, 2016

2015

Information matrix for hidden Markov models with covariates.

Francesco Bartolucci, Alessio Farcomeni

Stat. Comput., 2015

S-estimation of hidden Markov models.

Alessio Farcomeni, Luca Greco

Comput. Stat., 2015

2014

Robust Constrained Clustering in Presence of Entry-Wise Outliers.

Alessio Farcomeni

Technometrics, 2014

Snipping for robust k-means clustering under component-wise contamination.

Alessio Farcomeni

Stat. Comput., 2014

Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter.

Andrea Cerioli, Alessio Farcomeni, Marco Riani

J. Multivar. Anal., 2014

2013

Robust distances for outlier-free goodness-of-fit testing.

Andrea Cerioli, Alessio Farcomeni, Marco Riani

Comput. Stat. Data Anal., 2013

2012

Modelling work history patterns in the Italian labour market.

Elena Fabrizi, Alessio Farcomeni, Valerio Gatta

Stat. Methods Appl., 2012

Quantile regression for longitudinal data based on latent Markov subject-specific parameters.

Alessio Farcomeni

Stat. Comput., 2012

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

2011

Error rates for multivariate outlier detection.

Andrea Cerioli, Alessio Farcomeni

Comput. Stat. Data Anal., 2011

2010

A two-component Weibull mixture to model early and late mortality in a Bayesian framework.

Alessio Farcomeni, Alessandra Nardi

Comput. Stat. Data Anal., 2010

2009

An exact approach to sparse principal component analysis.

Alessio Farcomeni

Comput. Stat., 2009

Robust Double Clustering: A Method Based on Alternating Concentration Steps.

Alessio Farcomeni

J. Classif., 2009

2007

Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments.

Marco Alfò, Alessio Farcomeni, Luca Tardella

Comput. Stat. Data Anal., 2007

2006

More Powerful Control of the False Discovery Rate Under Dependence.

Alessio Farcomeni

Stat. Methods Appl., 2006