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Professor
of Statistics Department of Statistical Sciences University of Bologna Via Belle Arti, 41 40126 Bologna (Italy) Tel.: +39 051 2098235 email: alberto [dot] roverato [AT] unibo [dot] it |

Academic Positions:

- Full professor, University of Bologna, 2006 -

- Full professor, University of Modena and Reggio Emilia, 2002 - 2006
- Associate professor, University of Modena and Reggio Emilia, 1998 - 2006
- Assistant professor, University of Modena and Reggio Emilia, 1994 - 1998

Editorial Service:

- Associate Editor of Annals of Statistics (2008 - )
- Associate Editor of Scandinavian Journal of Statistics (2009 - 2015)
- Associate Editor of Metron (2007 - )

Visiting Positions:

- Visiting Scholar, Lancaster University, 1992/93
- Visiting Scholar, Lancaster University, January-February 1997
- Research Fellow, Isaac Newton Institute for Mathematical Sciences (Cambridge), September 2007
- Visiting Professor, CREST - Centre de Recherche en Economie et Statistique (Paris), November-December 2001
- Visiting Professor, DIMACS - National Science Foundation Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University, January-February 2002
- Visiting Professor, IITA - Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic (Prague), July 2003
- Visiting Professor, DIMACS - National Science Foundation Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University, November-December 2003
- Visiting Professor, Center for Genomic Regulation, University Pompeu Fabra (Barcelona), September-December, 2004
- Visiting Professor, IITA - Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic (Prague), April 2005
- Visiting Professor, University Pompeu Fabra (Barcelona), November 2009

Research Interests:

- Graphical models.
- Model selection and Bayesian model determination.
- Gene expression data and reverse-engineering of molecular regulatory networks
- Genetic algorithms.

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Selected Publications:

Roverato, A. and Castelo, R. (2016). The networked partial correlation and its application to
the analysis of genetic interactions. Journal of the Royal Statistical Society: Series C (Applied Statistics), in press.

Lupparelli, M. and Roverato, A. (2016).
Log-mean linear regression models for binary responses with an
application to multimorbidity. Journal of the Royal Statistical Society: Series C (Applied Statistics), in press.

Roverato, A. (2015). Log-mean linear parameterization for discrete graphical models of marginal independence and the analysis of dichotomizations. Scandinavian Journal of Statistics, 42, 2, 627-648.

Tur, I., Roverato, A. and Castelo, R. (2014). Mapping eQTL networks with
mixed graphical Markov models. Genetics, 198, 4, 1377-1393.

Roverato, A., Lupparelli, M. and La Rocca, L. (2013). Log-mean linear models for binary data. Biometrika, 100, 2, 485-494. (arXiv:1109.6239)

Di Lascio, F.M.L. and Roverato, A. (2013). Wilks' dissimilarity for gene clustering: computational issues. Epidemiology, Biostatistics and Public Health, 10, 2. pdf

Roverato, A. and Castelo, R. (2012).
Learning undirected graphical models from multiple datasets with the
generalized non-rejection rate. International Journal of Approximate
Reasoning. 53, 1326-1335.

Castelo, R. and Roverato, A. (2012). Inference of regulatory networks from microarray data with R and the Bioconductor package qpgraph. In Next Generation Microarray Bioinformatics, J. Wang, T. Aik-choon and T. Tian, Editors. Series: Methods in Molecular Biology, Vol. 802, Humana Press, USA.

Roverato, A. and Di Lascio, F.M.L. (2011). Wilks' Lambda dissimilarity measures for gene clustering: an approach based on the identification of transcription modules. Biometrics. 67, 4, 1236-1248.

Castelo, R. and Roverato, A. (2009). Reverse engineering molecular regulatory networks from microarray data with qp-graphs. Journal of Computational Biology. 16, 2, 213-227.

Studený, M., Roverato, A. and Štěpánová Š. (2009). Two operations of merging and splitting components in a chain graph. Kybernetika, 45, 2, 208-248.

La Rocca, L. and Roverato, A. (2008). Chain
Graph models: topological sorting of meta-arrows and efficient
construction of B-essential graphs.
*Statistical
Methods & Applications – Journal of the Italian Statistical Society. *17, 73-83.

Castelo, R. and Roverato, A. (2006). A
robust procedure for Gaussian graphical model search from microarray data
with *p* larger than *n*. *Journal
of Machine Learning Research, *7, 2621-2650.

Roverato, A. and Studený M., (2006).
A graphical representation of equivalence classes of AMP chain graphs. *Journal
of Machine Learning Research, *7, 1045-1078.

Roverato, A. and La Rocca, L. (2006). On
block ordering of variables in graphical models. *Scandinavian Journal
of Statistics, *33, 65-81.

Roverato,
A. (2005). A unified approach to the characterisation of Markov
equivalence classes of DAGs, chain graphs with no flags and chain
graphs. *Scandinavian
Journal of Statistics*, 32, 295-312.

Roverato, A. and Consonni,
G. (2004). Compatible prior distributions for DAG models. *Journal
of the Royal Statistical Society ser. B*,
66, 47–61.

Roverato, A. and
Paterlini, S. (2004). Technological modelling for graphical models: an
approach based on genetic algorithms. *Computational
Statistics and Data Analysis*. Special Issue: Applications of Optimization Heuristics to Estimation and Modelling
Problems* * - (Ed.s M. Gilli e P. Winker),
47, 2, 323-337.

Roverato, A. (2003). On
the invariance of conditioning procedures for the specification of prior distributions for nested dag models.
*Statistical
Methods & Applications – Journal of the Italian Statistical Society*,
12, 331–340.

Roverato, A. (2002).
Hyper inverse Wishart distribution for non-decomposable graphs and its
application to Bayesian inference for Gaussian
graphical models. *Scandinavian Journal of
Statistics*, 29, 3, 391–411.

Roverato, A. (2001).
Prior distributions for Gaussian graphical models: a comparison between
the directed and undirected case, *Metron*,
59, 1–2, 205-216.

Roverato, A. (2000).
Cholesky decomposition of a hyper inverse Wishart matrix, *Biometrika*,
87, 1, 99–112.

Roverato, A. (1999).
Asymptotic prior to posterior analysis for graphical Gaussian models, *Classification
and data analysis* (M. Vichi e O. Opitz Eds),
Springer-Verlag, 335–342.

Poli, I. and Roverato, A.
(1998). A genetic algorithm for graphical model selection. *Journal
of the Italian Statistical Society*,
2, 197–208.

Roverato, A. and
Whittaker, J. (1998). The Isserlis matrix and its application to
non-decomposable graphical Gaussian models. *Biometrika*,
85, 3, 711–25.

Roverato, A. and Whittaker, J.
(1996). Standard errors for the parameters of graphical Gaussian models, *Statistics and Computing*,
6, 297–302.

Selected Interdisciplinary Research Works:

Ballestri, S., Zona, S., Targher, G.,
Romagnoli, D., Baldelli, E., Nascimbeni, F., Roverato, A., Guaraldi, G.
and Lonardo, A. (2016). Nonalcoholic fatty liver disease is associated
with an almost two-fold increased risk of incident type 2 diabetes and
metabolic syndrome. Evidence from a systematic review and
meta-analysis. Journal of Gastroenterology and Hepatology, 31, 936-944.

Guaraldi, G., Cossarizza, A.,
Franceschi, C., Roverato, A. Vaccher, E., Tambussi, G., Garlassi, E.,
Menozzi, M., Mussini, C. and D'Arminio Monforte, A. (2014). Life
Expectancy in the Immune Recovery Era: The Evolving Scenario of the HIV
Epidemic in Northern Italy. JAIDS Journal of Acquired Immune Deficiency Syndromes, 65, 2, 175-181.

Guaraldi,
G., Orlando, G., Zona, S., Menozzi, M., Carli, F., Garlassi, E.,
Berti, A., Rossi, E., Roverato, A. and Palella F. (2011). Premature
age-related comorbidities among HIV-infected persons compared with
the general population HIV/AIDS. *Clinical Infectious Diseases*,
53, 11, 1120-1126.

Guaraldi,
G., Roverato, A., Giovanardi, C., Ravera, F., Squillace, N., Orlando,
G., Cappelli, G., Esposito, R., and Palella, F. (2009). Glomerular
Filtration Rates in HIV-Infected Patients Treated with and without
Tenofovir: a Prospective, *Observational Study.
**Journal of Antimicrobial Chemotherapy*,
63, 374-379.

Guaraldi,
G., Orlando, G., Squillace, N., Roverato, A., De Fazio, D., Vandelli,
M., Nardini, G., Beghetto, B., De Paola, M., Esposito, R. and
Palella, F. (2007). Prevalence of and Risk Factors for Pubic Lipoma.
*Journal of acquired immune decency syndromes*, 45, 1, 72-76.

Guaraldi, G., Orlando, G., Squillace, N., De Santis, G., Pedone, A., Spaggiari, A., De Fazio, D., Vandelli, M., De Paola, M., Bertucelli, C., Aldrovandi C., Nardini G., Beghetto, B., Borghi, V., Bertolotti, M., Bagni, B., Amorico M.G., Roverato, A. and Esposito, R. (2006). Multidisciplinary Approach to the Treatment of Metabolic and Morphologic Alterations of HIV-Related Lipodystrophy. HIV Clinical Trials, 7, 97-106.

Garolla, A., Ferlin, A., Vinanzi, C., Roverato, A., Sotti, G., Artibani, W.
and Foresta, C. (2005). Molecular analysis of the androgen
receptor gene in testicular cancer. *Endocrine-Related
Cancer*, 12, pp. 1-11

Ferlin, A., Garolla, A., Bettella, A., Bartoloni, L., Vinanzi, C., Roverato, A.
and Foresta, C. (2005). Androgen receptor gene CAG and GGC repeat lengths in cryptorchidism.
*European Journal of Endocrinology*, 152, 3, 419-425.

Garolla, A., Maiorino, M.,
Roverato, A., Roveri, A., Ursini, F. and Foresta, C. (2005). Oral
carnitine supplementation increases
sperm motility in asthenozoospermic men with normal sperm phospholipid hydroperoxide glutathione peroxidase (PHGPx)
content. *Fertility and Sterility*,
83, 2,pp. 355–361.

Ferlin, A., Bartoloni, L.,
Rizzo, G., Roverato, A., Garolla, A. e Foresta, C. (2004). Androgen
receptor gene CAG and GGC repeat
lengths in idiopathic male infertility. *Molecular
Human Reproduction*, 10,
pp. 417–421.

Software:

qpgraph: Add-on software package for the R statistical software that forms part of the Bioconductor project. See also the qpgraph-page of Functional Genomics Group, Pompeu Fabra University .

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Teaching:

Orario di ricevimento/Office time

Mercoledě/Wednesday 14:00-16:00

CLa.BE - STATISTICS

CLaM.ED - modulo di STATISTICA APPLICATA

CLaM.EPE - TECNICHE DI ANALISI DEI DATI

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Last updated: 16-02-2016