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Marco Scutari Contact Information Here is my curriculum vitae. |
Publications
Book Chapters
- Introduction to Graphical Modelling.
M. Scutari and K. Strimmer (2010, forthcoming).
in Handbook of Statistical Systems Biology, D. J. Balding, M. Stumpf and M. Girolami (editors), Wiley.
Refereed Journal Articles
- Learning Bayesian Networks with the bnlearn Package.
M. Scutari (2010, submitted).
Journal of Statistical Software. [ arXiv (preprint) ]
Refereed Conference Proceedings
- NATbox: a Network Analysis Toolbox in R.
S. S. Chavan, M. A. Bauer, M. Scutari and R. Nagarajan (2009).
BMC Bioinformatics, 10(Suppl 11):S14. [ html | pdf ]
Working Papers & Technical Reports
- Structure Variability in Bayesian Networks.
M. Scutari (2009).
Working Paper 13-2009, Department of Statistical Sciences, University of Padova. [ arXiv ]
Invited Speaks
- Structure Variability in Graphical Models.
Machine Learning / Intelligent Data Analysis Group, Institut für Softwaretechnik und Theoretische Informatik,
Technische Universität Berlin (November 5, 2009). [ pdf ] - Comparing Bayesian networks and structure learning algorithms.
Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE),
Leipzig University (October 20, 2009). [ pdf ] - Network Bayesiani: selezione del modello. (in Italian)
Department of Information Engineering,
University of Padova (November 4, 2008). [ pdf ]
