Alessio Farcomeni

28 papers Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exact score and information matrix for panel hidden semi-Markov models.
Stat. Comput.
Alessio Farcomeni
2025 J jnl
Latent Markov Time-Interaction Processes.
J. Comput. Graph. Stat.
Rosario Barone, Alessio Farcomeni, Maura Mezzetti
2025 J jnl
PDE-regularised spatial quantile regression.
J. Multivar. Anal.
Cristian Castiglione, Eleonora Arnone, Mauro Bernardi, Alessio Farcomeni, Laura M. Sangalli
2024 J jnl
Quantile ratio regression.
Stat. Comput.
Alessio Farcomeni, Marco Geraci
2024 J jnl
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO.
Stat. Anal. Data Min.
Luca Bagnato, Alessio Farcomeni, Antonio Punzo
2023 J jnl
Quantile-distribution functions and their use for classification, with application to naïve Bayes classifiers.
Stat. Comput.
Edoardo Redivo, Cinzia Viroli, Alessio Farcomeni
2022 J jnl
Directional Quantile Classifiers.
J. Comput. Graph. Stat.
Alessio Farcomeni, Marco Geraci, Cinzia Viroli
2021 J jnl
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections.
Comput. Stat. Data Anal.
Giampiero Marra, Alessio Farcomeni, Rosalba Radice
2018 J jnl
A reweighting approach to robust clustering.
Stat. Comput.
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
2018 J jnl
Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy.
Stat. Methods Appl.
Giulia Barbati, Alessio Farcomeni
2018 J jnl
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.
Stat. Methods Appl.
Alessio Farcomeni, Francesco Dotto
2017 J jnl
A fuzzy approach to robust regression clustering.
Adv. Data Anal. Classif.
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
2016 — conf
Robust Fuzzy Clustering via Trimming and Constraints.
SMPS
Francesco Dotto, Alessio Farcomeni, Luis Angel García-Escudero, Agustín Mayo-Íscar
2015 J jnl
Information matrix for hidden Markov models with covariates.
Stat. Comput.
Francesco Bartolucci, Alessio Farcomeni
2015 J jnl
S-estimation of hidden Markov models.
Comput. Stat.
Alessio Farcomeni, Luca Greco
2014 J jnl
Robust Constrained Clustering in Presence of Entry-Wise Outliers.
Technometrics
Alessio Farcomeni
2014 J jnl
Snipping for robust k-means clustering under component-wise contamination.
Stat. Comput.
Alessio Farcomeni
2014 J jnl
Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter.
J. Multivar. Anal.
Andrea Cerioli, Alessio Farcomeni, Marco Riani
2013 J jnl
Robust distances for outlier-free goodness-of-fit testing.
Comput. Stat. Data Anal.
Andrea Cerioli, Alessio Farcomeni, Marco Riani
2012 J jnl
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data.
Comput. Stat. Data Anal.
Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni
2012 J jnl
Modelling work history patterns in the Italian labour market.
Stat. Methods Appl.
Elena Fabrizi, Alessio Farcomeni, Valerio Gatta
2012 J jnl
Quantile regression for longitudinal data based on latent Markov subject-specific parameters.
Stat. Comput.
Alessio Farcomeni
2011 J jnl
Error rates for multivariate outlier detection.
Comput. Stat. Data Anal.
Andrea Cerioli, Alessio Farcomeni
2010 J jnl
A two-component Weibull mixture to model early and late mortality in a Bayesian framework.
Comput. Stat. Data Anal.
Alessio Farcomeni, Alessandra Nardi
2009 J jnl
An exact approach to sparse principal component analysis.
Comput. Stat.
Alessio Farcomeni
2009 J jnl
Robust Double Clustering: A Method Based on Alternating Concentration Steps.
J. Classif.
Alessio Farcomeni
2007 J jnl
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments.
Comput. Stat. Data Anal.
Marco Alfò, Alessio Farcomeni, Luca Tardella
2006 J jnl
More Powerful Control of the False Discovery Rate Under Dependence.
Stat. Methods Appl.
Alessio Farcomeni