Homepage Cinzia Viroli

 

 

 

Papers

Teaching

Contacs                  

 

 

 

 

 

 

 

                                                 

   

I am an associate professor of Statistics at the Department of Statistical Sciences of University of Bologna, Italy

              

emailcinzia.viroli[at]unibo.it    

 

 

 

 

 

 

 

   I am the Director of the Master (2nd cycle Degree) 

   in STATISTICAL SCIENCES

   Further information can be found here

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Research:

 

My main research fields are mixture models, classification, latent variable models, dimension reduction, 

multivariate analysis with application in genomic, text mining, and social sciences.

I am an associate editor of Statistics and Computing

 

 

 

 

 

 

 

Papers

 

 

 

Year

 

Authors

Title

Link

2017 Ranciati, S., Viroli, C. and Wit, E.

Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data 

Biometrical journal

 

2016

De Angelis, L., Viroli, C.

A Markov-switching regression model with non-Gaussian innovations: estimation and testing

Studies in Nonlinear Dynamics & Econometrics

2016

Bernini, C., Cracolici, M.F., Viroli, C. 

Does Tourism Consumption Behaviour Mirror Differences in Living Standards?

Social Indicators Research

 

2016

Hennig, C., Viroli, C.

Quantile-based classifiers

Biometrika

R package quantileDA

2016

Scirè, C.A., Carrara, G., Viroli, C., et al.

Development and first validation of a disease activity score for gout 

Arthritis Care & Research

 

2016

Bonafede, E., Picard, F., Robin, S., Viroli, C.

Modelling overdispersion heterogeneity in differential expression analysis using mixtures

Biometrics

R package mixtNB 

2015

Anderlucci, L. and Viroli C.

Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

The Annals of Applied Statistics

 

2015

Ranciati, S. Viroli, C. and Wit E. 

Spatio-temporal model for multiple chip-seq experiments

Statistical Applications in Genetics and Molecular Biology

2015

Parma, L.,  Bonaldo, A., Pirini, M., Viroli, C., Parmeggiani, A., Bonvini, E., Gatta, P.P.

Fatty acid composition of eggs and its relationships to egg and larval viability from domesticated common sole (Solea solea) breeders

Reproduction in Domestic Animals

 

2014

Anderlucci, L., Montanari, A. and Viroli C.

A Matrix-variate Regression Model with Canonical States: an application to elderly Danish Twins 

Statistica

2014

Calò D.G., Montanari, A. and Viroli C.

A Hierarchical Modeling Approach for Clustering Probability Density Functions 

Computational Statistics and Data Analysis

 

2014

Cagnone S., Viroli C.

A Factor Mixture Model for Analyzing Heterogeneity and Cognitive Structure of Dementia

AStA, Advances in Statistical Analysis,

2013

C. A. Scirè, G. Carrara, C. Viroli, et al.

Development and preliminary validation of a candidate disease activity score for gout

Annals of the Rheumatic Diseases

 

2013

Viroli, C. 

Comments on “Large covariance estimation by thresholding principal orthogonal complements” by J. Fan, Y. Liao and M. Mincheva

Journal of the Royal Statistical Society, B

2012

Viroli, C. 

On Matrix-variate Regression Analysis 

Journal of Multivariate Analysis

 

2012

Viroli, C. 

Using factor mixture analysis to model heterogeneity, cognitive structure and determinants of dementia: an application to the Aging, Demographics and Memory Study 

Statistics in Medicine

2012

Picardi A., Viroli C., Tarsitani L., Miglio R., de Girolamo G., Dell'Acqua G., Biondi M.

Heterogeneity and symptom structure of schizophrenia 

Psychiatry Research

 

2012

Cagnone S., Viroli C. 

A Factor Mixture Analysis Model for Multivariate Binary Data 

Statistical Modelling

2011

Viroli, C. 

Model based clustering for three-way data structures 

Bayesian Analysis

R code

2011

Montanari A. and Viroli C. 

Dimensionally reduced mixtures of regression models 

Journal of Statistical Planning and Inference

R code

2011

Montanari A. and Viroli C. 

Maximum likelihood estimation of Mixture of Factor Analyzers 

Computational Statistics and Data Analysis

 

2011

Viroli C. 

Finite mixtures of matrix normal distributions for classifying three-way data 

Statistics and Computing

R code

2010

Calò D.G., Viroli C.

A dimensionally reduced finite mixture model for multilevel data

Journal of Multivariate Analysis

 

2010

Viroli C.

Dimensionally reduced model-based clustering through Mixtures of Factor Mixture Analyzers 

Journal of Classification

R code

2010

Montanari A. and Viroli C. 

The Independent Factor Analysis approach to latent variable modeling

Statistics, A Journal of Theoretical and Applied Statistics

R code

2010

Montanari A. and Viroli C. 

Heteroscedastic Factor Mixture Analysis

Statistical Modelling

R code

2010

Montanari A. and Viroli C. 

A skew-normal factor model for the analysis of student satisfaction towards university courses 

Journal of Applied Statistics

 

2009

Galimberti G., Montanari A. and Viroli C. 

Penalized Factor Mixture Analysis for Variable Selection in Clustered Data

Computational Statistics & Data Analysis

2009

Viroli C. 

Bayesian Inference in Non-Gaussian Factor Analysis 

Statistics and Computing

R code

2008

Calò D.G., Viroli C.

Finding relevant linear manifolds in classification by Gaussian mixtures 

Communications in Statistics, Theory and Methods

2008

Montanari A., Calò D.G. and Viroli C. 

Independent Factor Discriminant Analysis

Computational Statistics & Data Analysis,

 

2007

Viroli C. 

Fitting the Independent Factor Analysis Model using the MCMC Algorithm 

Journal of Statistical Computation & Simulation

2006

Calò D.G., Montanari A. and Viroli C. 

Model-based Density Estimation by Independent Factor Analysis, 

in: From Data and Information Analysis to Knowledge Engineering, ( M. Spiliopoulou, R. Kruse, C. Bolgelt, A. Nürnberger, W. Gaul, eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag, Berlin

pdf

2006

Pillati M. and Viroli C.

Gene selection in classification problems via projections onto a latent space 

in: From Data and Information Analysis to Knowledge Engineering, (M. Spiliopoulou, R. Kruse, C. Bolgelt, A. Nürnberger, W. Gaul, eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer-Verlag, Berlin

pdf

2005

Viroli C.

Choosing the number of factors in Independent Factor Analysis model, 

Metodološki Zvezki

 

2005

Pillati M. and Viroli C.

Locally Linear Embedding for nonlinear dimension reduction in classification problems: an application to gene expression data 

Statistica

pdf

2005

Calò D.G., Galimberti G., Pillati M. and Viroli C.

Variable selection in classification problems: a strategy based on independent component analysis 

in: New Developments in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization, ( M. Vichi, P. Monari, S. Mignani and A. Montanari eds.) Springer-Verlag, Berlin

pdf

2003

Viroli C.

Reflections on a Supervised Approach to Independent Component Analysis 

in Between Data Science and Applied Data Analysis, (M. Schader, W. Gaul e M. Vichi eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer Berlin

pdf

 

 

 

Teaching

 

In the current Academic Year I teach the following courses:

- Probability II  (Bachelor course in Stats & Maths)

- Statistica Computazionale (Master course in Statistical Sciences)

- Probability I (in the integrated course on Statistics and Probability, Bachelor course in Stats & Maths)

and I supervise master students projects, bachelor student projects and PhD students. See here for details.

 

 

 

 

Contacts

Cinzia Viroli

Department of Statistical Sciences 

University of Bologna
via delle Belle Arti, 41
40126 Bologna

 Email: cinzia.viroli[at]unibo.it
 Phone: +(39) 051 2098214
 Fax: +(39) 051 232153
 Skype: cinzia.viroli