Luca Scrucca

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Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonZweryfikowany adres z uw.edu
Brendan MurphyUniversity College DublinZweryfikowany adres z ucd.ie
Michael FopLecturer/Assistant Professor University College DublinZweryfikowany adres z ucd.ie
Cecilia ChirieleisonAssociate Professor of Business Administration, University of PerugiaZweryfikowany adres z unipg.it
Baljinder K. SahdraAssociate Professor, Institute for Positive Psychology and Education, ACUZweryfikowany adres z acu.edu.au
Alessio SerafiniData Reply IT srlZweryfikowany adres z unipg.it
Isobel Claire GormleyProfessor, School of Mathematics and Statistics, University College DublinZweryfikowany adres z ucd.ie
Anthony O'HaganEmeritus Professor, the University of SheffieldZweryfikowany adres z sheffield.ac.uk
Joseph CiarrochiProfessor, Institute of Positive Psychology and Education, Australian Catholic UniversityZweryfikowany adres z acu.edu.au
Philip D ParkerInstitute of Positive Psychology and Education - Australian Catholic UniversityZweryfikowany adres z acu.edu.au
Giovanna MenardiDepartment of Statistical Science, University of PaduaZweryfikowany adres z stat.unipd.it
Roberto Cirocchi.Associate Professor of Surgery, University of PerugiaZweryfikowany adres z unipg.it
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaZweryfikowany adres z math.mcmaster.ca
Sanford WeisbergProfessor of Statistics, University of MinnesotaZweryfikowany adres z umn.edu
Nema DeanQ-step Reader in Statistics, University of GlasgowZweryfikowany adres z glasgow.ac.uk
Stéphane ROBINSorbonne universitéZweryfikowany adres z sorbonne-universite.fr
Corrado CencettiProfessore ordinario di Geologia Applicata, Università di PerugiaZweryfikowany adres z unipg.it
pierluigi de rosaPostDoc, University of PerugiaZweryfikowany adres z unipg.it
Avner Bar-HenCNAMZweryfikowany adres z cnam.fr
Dilhari T. AttygalleSenior Lecturer, University of ColomboZweryfikowany adres z stat.cmb.ac.lk

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Luca Scrucca

Full Professor of Statistics, University of Bologna, Italy

Zweryfikowany adres z unibo.it - Strona główna

Computational Statistics Mixture models Model-based clustering Classification Genetic Algorithms


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	2997	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	1263	2012
GA: A package for genetic algorithms in R L Scrucca Journal of Statistical Software 53, 1-37, 2013	974	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	760	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	496	2010
qcc: an R package for quality control charting and statistical process control L Scrucca R News 4 (1), 11--17, 2004	313	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	288*	2006
Model-based clustering, classification, and density estimation using mclust in R L Scrucca, C Fraley, TB Murphy, AE Raftery Chapman and Hall/CRC, 2023	148	2023
On some extensions to GA package: hybrid optimisation, parallelisation and islands evolution L Scrucca arXiv preprint arXiv:1605.01931, 2016	148	2016
clustvarsel: A package implementing variable selection for Gaussian model-based clustering in R L Scrucca, AE Raftery Journal of Statistical Software 84, 1-28, 2018	102	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	102	2016
Dimension reduction for model-based clustering L Scrucca Statistics and Computing 20, 471-484, 2010	90	2010
Improved initialisation of model-based clustering using Gaussian hierarchical partitions L Scrucca, AE Raftery Advances in data analysis and classification 9, 447-460, 2015	81	2015
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	75	2003
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	73	2017
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	72	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	64	2011
mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models. The R Journal, 8 (1), 289–317 L Scrucca, M Fop, TB Murphy, AE Raftery DOI 10.32614/RJ-2016-021, 2016	59	2016
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	58*	2019

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