Alberto Roverato




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Contents of this page:

  • profile
  • research interests
  • publications
  • teaching
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
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Editorial Service:

Visiting Positions:

Research Interests:

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Selected Publications:


        
Roverato, A. and Castelo, R. (2015). Path weights, networked partial correlations and their application to the analysis of genetic interactions. arXiv:1510.02510

Lupparelli, M. and Roverato, A. (2015). Log-mean and log-mean linear regression models for multiple binary responses. arXiv:1410.0580

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.

Studen, M., Roverato, A. and Štěpnov 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 Studen 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:

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
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Orario di ricevimento/Office time

Marted/Tuesday 14:30-16:30


CLa.BE - STATISTICS

CLaM.ED - modulo di STATISTICA APPLICATA

CLaM.EPE - TECNICHE DI ANALISI DEI DATI


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Last updated: 20-09-2012




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