Luca Scrucca 个人学术档案 - 学术资源搜索

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Adrian E. RafteryProfessor of Statistics and Sociology, University of Washington在 uw.edu 的电子邮件经过验证
Brendan MurphyUniversity College Dublin在 ucd.ie 的电子邮件经过验证
Michael FopLecturer/Assistant Professor University College Dublin在 ucd.ie 的电子邮件经过验证
Cecilia ChirieleisonAssociate Professor of Business Administration, University of Perugia在 unipg.it 的电子邮件经过验证
Baljinder K. SahdraAssociate Professor, Institute for Positive Psychology and Education, ACU在 acu.edu.au 的电子邮件经过验证
Isobel Claire GormleyProfessor, School of Mathematics and Statistics, University College Dublin在 ucd.ie 的电子邮件经过验证
Anthony O'HaganEmeritus Professor, the University of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
Alessio SerafiniData Reply IT srl在 unipg.it 的电子邮件经过验证
Joseph CiarrochiProfessor, Institute of Positive Psychology and Education, Australian Catholic University在 acu.edu.au 的电子邮件经过验证
Philip D ParkerInstitute of Positive Psychology and Education - Australian Catholic University在 acu.edu.au 的电子邮件经过验证
Roberto Cirocchi.Associate Professor of Surgery, University of Perugia在 unipg.it 的电子邮件经过验证
Stefano TrastulliSanta Maria Hospital Terni- University of Perugia在 studenti.unipg.it 的电子邮件经过验证
Giovanna MenardiDepartment of Statistical Science, University of Padua在 stat.unipd.it 的电子邮件经过验证
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, Canada在 math.mcmaster.ca 的电子邮件经过验证
Nema DeanQ-step Reader in Statistics, University of Glasgow在 glasgow.ac.uk 的电子邮件经过验证
Sanford WeisbergProfessor of Statistics, University of Minnesota在 umn.edu 的电子邮件经过验证
Stéphane ROBINSorbonne université在 sorbonne-universite.fr 的电子邮件经过验证
Corrado CencettiProfessore ordinario di Geologia Applicata, Università di Perugia在 unipg.it 的电子邮件经过验证
pierluigi de rosaPostDoc, University of Perugia在 unipg.it 的电子邮件经过验证
Avner Bar-HenCNAM在 cnam.fr 的电子邮件经过验证

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Luca Scrucca

Associate Professor of Statistics, University of Perugia, Italy

在 unipg.it 的电子邮件经过验证 - 首页

Computational Statistics Mixture models Model-based clustering Classification Genetic Algorithms


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2749	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	1248	2012
GA: A package for genetic algorithms in R L Scrucca Journal of Statistical Software 53, 1-37, 2013	899	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	741	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	489	2010
qcc: an R package for quality control charting and statistical process control L Scrucca R News 4 (1), 11--17, 2004	299	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	97	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	88	2016
Dimension reduction for model-based clustering L Scrucca Statistics and Computing 20, 471-484, 2010	82	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	71	2017
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
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	71	2003
mclust: Normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, L Scrucca	66	2012
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	65	2016
Model-based SIR for dimension reduction L Scrucca Computational Statistics & Data Analysis 55 (11), 3010-3026, 2011	60	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	55	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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