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Marco Scutari Contact Information Here is my curriculum vitae. |
Publications
Books
- Graphical Models in R.
R. Nagarajan, S. Datta and M. Scutari (in preparation).
Springer.
Book Chapters
- Introduction to Graphical Modelling.
[ arXiv (preprint) ]
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
- Measures of Variability for Bayesian Network Graphical Structures.
[ arXiv (preprint) ]
M. Scutari (2010, submitted).
Journal of Multivariate Analysis. - Functional Relationships Between Genes Associated with Differentiation Potential of Aged Myogenic Progenitors.
[ html ]
R. Nagarajan, S. Datta, M. Scutari, M. L. Beggs, G. T. Nolen and C. A. Peterson (2010).
Frontiers in Systems Biology. - Learning Bayesian Networks with the bnlearn R Package.
[ arXiv (preprint) |
html |
pdf ]
M. Scutari (2010).
Journal of Statistical Software, 35(3), 1–22.
Refereed Conference Proceedings
- NATbox: a Network Analysis Toolbox in R.
[ html |
pdf ]
S. S. Chavan, M. A. Bauer, M. Scutari and R. Nagarajan (2009).
BMC Bioinformatics, 10(Suppl 11):S14.
Working Papers & Technical Reports
- Structure Variability in Bayesian Networks.
[ arXiv ]
M. Scutari (2009).
Working Paper 13-2009, Department of Statistical Sciences, University of Padova.
Invited Speaks and Conference Presentations
- Constraint-based Bayesian Network Learning with Permutation Tests.
Statistics for Complex Problems: the Multivariate Permutation Approach and Related Topics,
Archivio Antico, Palazzo del Bo, University of Padova (June 15, 2010). [ pdf ] - 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 ]
