Luca Scrucca

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Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
Brendan MurphyUniversity College DublinVerified email at ucd.ie
Michael FopLecturer/Assistant Professor University College DublinVerified email at ucd.ie
Cecilia ChirieleisonAssociate Professor of Business Administration, University of PerugiaVerified email at unipg.it
Baljinder K. SahdraAssociate Professor, Institute for Positive Psychology and Education, ACUVerified email at acu.edu.au
Isobel Claire GormleyProfessor, School of Mathematics and Statistics, University College DublinVerified email at ucd.ie
Anthony O'HaganEmeritus Professor, the University of SheffieldVerified email at sheffield.ac.uk
Alessio SerafiniData Reply IT srlVerified email at unipg.it
Joseph CiarrochiProfessor, Institute of Positive Psychology and Education, Australian Catholic UniversityVerified email at acu.edu.au
Philip D ParkerInstitute of Positive Psychology and Education - Australian Catholic UniversityVerified email at acu.edu.au
Roberto Cirocchi.Associate Professor of Surgery, University of PerugiaVerified email at unipg.it
Stefano TrastulliSanta Maria Hospital Terni- University of PerugiaVerified email at studenti.unipg.it
Giovanna MenardiDepartment of Statistical Science, University of PaduaVerified email at stat.unipd.it
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
Nema DeanQ-step Reader in Statistics, University of GlasgowVerified email at glasgow.ac.uk
Sanford WeisbergProfessor of Statistics, University of MinnesotaVerified email at umn.edu
Stéphane ROBINSorbonne universitéVerified email at sorbonne-universite.fr
Corrado CencettiProfessore ordinario di Geologia Applicata, Università di PerugiaVerified email at unipg.it
pierluigi de rosaPostDoc, University of PerugiaVerified email at unipg.it
Avner Bar-HenCNAMVerified email at cnam.fr

Luca Scrucca

Associate Professor of Statistics, University of Perugia, Italy

Verified email at unipg.it - Homepage

Computational Statistics Mixture models Model-based clustering Classification Genetic Algorithms


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mclust 5: clustering, classification and density estimation using Gaussian finite mixture models L Scrucca, M Fop, TB Murphy, AE Raftery The R journal 8 (1), 289, 2016	2783	2016
mclust version 4 for R: normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, TB Murphy, L Scrucca Technical report 597, 1, 2012	1249	2012
GA: A package for genetic algorithms in R L Scrucca Journal of Statistical Software 53, 1-37, 2013	906	2013
Competing risk analysis using R: an easy guide for clinicians L Scrucca, A Santucci, F Aversa Bone marrow transplantation 40 (4), 381-387, 2007	743	2007
Regression modeling of competing risk using R: an in depth guide for clinicians L Scrucca, A Santucci, F Aversa Bone marrow transplantation 45 (9), 1388-1395, 2010	492	2010
qcc: an R package for quality control charting and statistical process control L Scrucca R News 4 (1), 11--17, 2004	301	2004
MCLUST version 3: an R package for normal mixture modeling and model-based clustering C Fraley, AE Raftery WASHINGTON UNIV SEATTLE DEPT OF STATISTICS, 2006	281*	2006
On some extensions to GA package: hybrid optimisation, parallelisation and islands evolution L Scrucca arXiv preprint arXiv:1605.01931, 2016	136	2016
clustvarsel: a package implementing variable selection for Gaussian model-based clustering in R L Scrucca, AE Raftery Journal of Statistical Software 84, 2018	98	2018
Using genetic algorithms in a large nationally representative American sample to abbreviate the Multidimensional Experiential Avoidance Questionnaire BK Sahdra, J Ciarrochi, P Parker, L Scrucca Frontiers in Psychology 7, 189, 2016	90	2016
Dimension reduction for model-based clustering L Scrucca Statistics and Computing 20, 471-484, 2010	84	2010
Robotic right hemicolectomy: analysis of 108 consecutive procedures and multidimensional assessment of the learning curve A Parisi, L Scrucca, J Desiderio, A Gemini, S Guarino, F Ricci, R Cirocchi, ... Surgical Oncology 26 (1), 28-36, 2017	72	2017
Prevalence of carotid stenosis in type 2 diabetic patients asymptomatic for cerebrovascular disease. M De Angelis, L Scrucca, M Leandri, S Mincigrucci, S Bistoni, M Bovi, ... Diabetes, nutrition & metabolism 16 (1), 48-55, 2003	72	2003
Improved initialisation of model-based clustering using Gaussian hierarchical partitions L Scrucca, AE Raftery Advances in data analysis and classification 9, 447-460, 2015	71	2015
mclust: Gaussian mixture modelling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop R package version 5 (2), 2016	67	2016
mclust: Normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, L Scrucca	66	2012
Model-based SIR for dimension reduction L Scrucca Computational Statistics & Data Analysis 55 (11), 3010-3026, 2011	61	2011
Model-based clustering, classification, and density estimation using mclust in R L Scrucca, C Fraley, TB Murphy, AE Raftery Chapman and Hall/CRC, 2023	59	2023
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap A O’Hagan, TB Murphy, L Scrucca, IC Gormley Computational Statistics 34 (4), 1779-1813, 2019	53*	2019
Clustering multivariate spatial data based on local measures of spatial autocorrelation L Scrucca Quaderni del Dipartimento di Economia, Finanza e Statistica 20 (1), 11, 2005	52	2005

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