Marco Alfò

发表

Random coefficient models for binary longitudinal responses with attrition

Marco Alfò, Murray Aitkin, M. Aitkin, 2000, Stat. Comput..

Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study

Maria Francesca Marino, Marco Alfò, M. Marino, 2016, Comput. Stat. Data Anal..

Dependence and sensitivity in regression models for longitudinal responses subject to dropout

Maria Francesca Marino, Marco Alfò, M. Marino, 2018 .

A Comparison of Model-Based and Fuzzy Clustering Methods

Luca Scrucca, Alessio Serafini, Maria Ferraro, 2018 .

Regression models for binary longitudinal responses

Marco Alfò, Murray Aitkin, M. Aitkin, 1998, Stat. Comput..

A simple approach to bi-clustering discrete data

Maria Francesca Marino, Francesca Martella, Marco Alfò, 2015 .

Finite mixtures of quantile and M-quantile regression models

Marco Alfò, Maria Giovanna Ranalli, Nicola Salvati, 2016, Statistics and Computing.

Finite Mixtures of Hidden Markov Models for Longitudinal Responses Subject to Drop out

Marco Alfò, Maria Francesca Marino, 2019, Multivariate behavioral research.

Model based clustering of customer choice data

Marco Alfò, Donatella Vicari, 2014, Comput. Stat. Data Anal..

Hierarchical mixture models for biclustering in microarray data

Francesca Martella, Maurizio Vichi, Marco Alfò, 2011 .

A Hierarchical Model for Time Dependent Multivariate Longitudinal Data

Antonello Maruotti, Marco Alfò, A. Maruotti, 2010 .

A finite mixture model for image segmentation

Marco Alfò, Donatella Vicari, Luciano Nieddu, 2008, Stat. Comput..

A finite mixture model for multivariate counts under endogenous selectivity

Antonello Maruotti, Marco Alfò, Giovanni Trovato, 2011, Stat. Comput..

Variance component models for longitudinal count data with baseline information: epilepsy data revisited

Marco Alfò, Murray Aitkin, M. Aitkin, 2006, Stat. Comput..

Advances in Mixture Models

Marco Alfò, Wilfried Seidel, Dankmar Böhning, 2007, Comput. Stat. Data Anal..

Modeling node heterogeneity in latent space models for multidimensional networks

Thomas Brendan Murphy, Marco Alfò, Silvia D'Angelo, 2019, Statistica Neerlandica.

Generalized linear mixed joint model for longitudinal and survival outcomes

Dimitris Rizopoulos, Marco Alfò, Sara Viviani, 2014, Stat. Comput..

A Latent Space Model for Multidimensional Networks

Thomas Brendan Murphy, Marco Alfò, Silvia D'Angelo, 2017 .

Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts

Francesca Martella, Antonio Musaro, Marco Alfò, 2015, BMC Bioinformatics.

Extending a Logistic Approach to Risk Modeling through Semiparametric Mixing

Marco Alfò, Giovanni Trovato, Stefano Caiazza, 2005 .

Clustering Discrete Choice Data

Marco Alfò, Donatella Vicari, 2010, COMPSTAT.

Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition

Maria Francesca Marino, Marco Alfò, 2015, Adv. Data Anal. Classif..

Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments

Alessio Farcomeni, Marco Alfò, Luca Tardella, 2007, Comput. Stat. Data Anal..

Double Hierarchical Mixture model for microarray data

Francesca Martella, Maurizio Vichi, Marco Alfò, 2006 .

Extending Logistic Approach to Risk Modelling Through Semiparametric Mixing

Marco Alfò, Giovanni Trovato, Stefano Caiazza, 2004 .

Random effect models for multivariate mixed data: A Parafac-based finite mixture approach

Paolo Giordani, Marco Alfò, P. Giordani, 2021, Statistical Modelling.

A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes

Francesca Martella, Marco Alfò, M. Alfò, 2017 .

A selection model for longitudinal binary responses subject to non‐ignorable attrition

Antonello Maruotti, Marco Alfò, A. Maruotti, 2009, Statistics in medicine.

Longitudinal analysis of repeated binary data using autoregressive and random effect modelling

Marco Alfò, Murray Aitkin, M. Aitkin, 2003 .

Editorial: Special issue on models for continuous data with a spike at zero

Marco Alfò, Dankmar Böhning, D. Böhning, 2016, Biometrical journal. Biometrische Zeitschrift.

Semiparametric Mixture Models for Multivariate Count Data, with Application

Marco Alfò, Giovanni Trovato, M. Alfò, 2004 .

Comparison of interpolation methods for mapping climatic and bioclimatic variables at regional scale

Marco Alfò, F. Bruno, Fabio Attorre, 2007 .

Testing for country heterogeneity in growth models using a finite mixture approach

Marco Alfò, Giovanni Trovato, R. Waldmann, 2008 .

Two‐part regression models for longitudinal zero‐inflated count data

Antonello Maruotti, Marco Alfò, A. Maruotti, 2010 .