Marco Scutari

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Sophie LèbreIMAG UMR 5149, Université Paul Valéry Montpellier 3, COSTNET CA15109Verified email at univ-montp3.fr
Ian MackayIMplant ConsultancyVerified email at sruc.ac.uk
David BaldingMelbourne Integrative Genomics, Schools of BioSciences and of Maths & Stats, U MelbourneVerified email at unimelb.edu.au
Dr Bernard Xian Wei LiewSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex, UKVerified email at essex.ac.uk
Claudia VitoloDigital Twin Earth Applications Scientist at the European Space AgencyVerified email at esa.int
Allan TuckerSenior Lecturer, Brunel UniversityVerified email at brunel.ac.uk
Giovanni BrigantiUniversity of MonsVerified email at umons.ac.be
José M. GutiérrezResearch Professor, IFCA (CSIC - Universidad de Cantabria)Verified email at unican.es
Phil HowellNIAB Cambridge UKVerified email at niab.com
Fabio Antonio StellaUniversity of Milan-BicoccaVerified email at unimib.it
Professor Deborah FallaChair in Rehabilitation Science and Physiotherapy, School of Sport, Exercise and RehabilitationVerified email at bham.ac.uk
Paul LinkowskiProfesseur de psychiatrie Université libre de BruxellesVerified email at ulb.ac.be
Richard McNallyHarvard University, University of Illinois at Chicago, University of Health Sciences/The ChicagoVerified email at wjh.harvard.edu
James CockramProgramme Leader, NIAB, UKVerified email at niab.com
Tobias BarberPhD student at NIAB, Uni of Cambridge and RAGT Seeds Ltd.Verified email at cam.ac.uk
Alison R BentleyCIMMYTVerified email at cgiar.org
Katia BEAUCHENEARVALIS-Institut du végétalVerified email at arvalis.fr
Sébastien PraudlimagrainVerified email at limagrain.com
Andrew RussellQueen Mary University of LondonVerified email at qmul.ac.uk
Chao-Jung Wumcgill universityVerified email at mail.mcgill.ca

Marco Scutari

Senior Researcher, IDSIA

Verified email at bnlearn.com - Homepage

Bayesian Networks Causal Networks Fairness Machine Learning Software Engineering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning Bayesian Networks with the bnlearn R Package M Scutari Journal of Statistical Software 35 (3), 1-22, 2010	1886	2010
Bayesian Networks: with Examples in R M Scutari, JB Denis CRC press (1st edition, 2014; 2nd edition, 2021), 2014	541*	2014
Bayesian Networks in R with Applications in Systems Biology R Nagarajan, M Scutari, S Lèbre Springer, 2013	509*	2013
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M Scutari, CE Graafland, JM Gutiérrez International Journal of Approximate Reasoning 115, 235-253, 2019	259*	2019
On Identifying Significant Edges in Graphical Models of Molecular Networks M Scutari, R Nagarajan Artificial Intelligence in Medicine 57 (3), 207-217, 2013	185*	2013
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package M Scutari Journal of Statistical Software 77 (2), 1-20, 2017	182	2017
bnlearn: Bayesian network structure learning, parameter learning and inference M Scutari CRAN, 2007	168*	2007
Using Genetic Distance to Infer the Accuracy of Genomic Prediction M Scutari, I Mackay, D Balding PLoS Genetics 12 (9), e1006288, 2016	111	2016
Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation M Scutari, C Vitolo, A Tucker Statistics and Computing 25 (9), 1095-1108, 2019	107	2019
Applying Association Mapping and Genomic Selection to the Dissection of Key Traits in Elite European Wheat AR Bentley, M Scutari, N Gosman, S Faure, F Bedford, P Howell, ... Theoretical and Applied Genetics 127, 2619-2633, 2014	105	2014
Multiple Quantitative Trait Analysis Using Bayesian Networks M Scutari, P Howell, DJ Balding, I Mackay Genetics 198 (1), 129-137, 2014	95	2014
Bayesian Network Repository M Scutari http://www.bnlearn.com/bnrepository, 2012	71*	2012
Modelling Air Pollution, Climate and Health Data Using Bayesian Networks: a Case Study of the English Regions C Vitolo, M Scutari, M Ghalaieny, A Tucker, A Russell Earth and Space Science 5 (4), 76-88, 2018	68	2018
On the Prior and Posterior Distributions Used in Graphical Modelling (with discussion) M Scutari Bayesian Analysis 8 (3), 505-532, 2013	57*	2013
An Empirical-Bayes Score for Discrete Bayesian Networks M Scutari Journal of Machine Learning Research (Proceedings Track) 52, 438-448, 2016	54	2016
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle M Scutari Behaviormetrika 45 (2), 337-36, 2018	50*	2018
A Tutorial on Bayesian Networks for Psychopathology Researchers G Briganti, M Scutari, RJ McNally Psychological Methods 28 (4), 947-961, 2023	47	2023
Bayesian Network Structure Learning with Permutation Tests M Scutari, A Brogini Communications in Statistics-Theory and Methods 41 (16-17), 3233-3243, 2012	43	2012
Bayesian Network Models for Incomplete and Dynamic Data M Scutari Statistica Neerlandica 74 (3), 397-419, 2020	36	2020
Bayesian Networks Analysis of Malocclusion Data M Scutari, P Auconi, G Caldarelli, L Franchi Scientific Reports 7 (15326), 1-11, 2017	35	2017

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