Alberto
Roverato

Alberto Roverato obtained a PhD in Statistics from the University of Padua in early 1994. He held positions at the University of Modena and Reggio Emilia from 1994 to 2006 and he is currently Professor of Statistics at the University of Bologna. He is a member of the American Statistical Association, the Italian Statistical Society, the European Network for Business and Industrial Statistics (ENBIS) and the International Society for Bayesian Analysis (ISBA). Has served as referee for major statistical journals, including The Annals of Statistics, Biometrika and the Journal of the Royal Statistical Society ser. B. He has held visiting positions at the Department of Mathematics and Statistics of Lancaster University (UK), the Isaac Newton Institute for Mathematical Sciences of  Cambridge (UK), the Center for Research in Economics and Statistics (CREST) in Paris (France), the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University (USA), the Institute of Information Theory and Automation (IITA) in Prague (Czech Republic) and the Center for Genomic Regulation of the University Pompeu Fabra in Barcelona (Spain).

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• Graphical models, Bayesian belief networks, probabilistic expert systems, influence diagrams;

• model selection and Bayesian model determination;

• bioinformatics, microarray data analysis, gene regulatory networks;

• genetic algorithms.

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La Rocca, L. and Roverato, A. (2007). Chain Graph models: topological sorting of meta-arrows and efficient construction of B-essential graphs. Statistical Methods & Applications – Journal of the Italian Statistical Society. To appear.

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.
Associated qp package for R 

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, pp. 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,  pp. 295-312.

Roverato, A. and Consonni, G. (2004). Compatible prior distributions for DAG models. Journal of the Royal Statistical Society ser. B, 66, pp. 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, pp. 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, pp. 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, pp. 391–411.

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

Roverato, A. (2000). Cholesky decomposition of a hyper inverse Wishart matrix, Biometrika, 87, 1, pp 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, pp 335–342.

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

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

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

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.

CLaMED - STATISTICA LABORATORIO

          Martedì dalle 14.30 alle 16.30

          Dipartimento di Scienze Statistiche

        Via Belle Arti, 41 - II piano

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Last update: December 2006