{"id":"https://openalex.org/W2903058820","doi":"https://doi.org/10.23919/eusipco.2018.8553459","title":"Comparison of Parametric and Non-Parametric Population Modelling of Sport Performances","display_name":"Comparison of Parametric and Non-Parametric Population Modelling of Sport Performances","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903058820","doi":"https://doi.org/10.23919/eusipco.2018.8553459","mag":"2903058820"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553459","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070353079","display_name":"St\u00e9phane Bermon","orcid":"https://orcid.org/0000-0002-9529-2901"},"institutions":[{"id":"https://openalex.org/I14500998","display_name":"International University of Monaco","ror":"https://ror.org/02kb5sz66","country_code":"MC","type":"education","lineage":["https://openalex.org/I14500998"]}],"countries":["MC"],"is_corresponding":false,"raw_author_name":"Stephane Bermon","raw_affiliation_strings":["Health and Science Department, Int. Ass. of Athletic Federations, Monaco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health and Science Department, Int. Ass. of Athletic Federations, Monaco","institution_ids":["https://openalex.org/I14500998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001127202","display_name":"Asya Metelkina","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Asya Metelkina","raw_affiliation_strings":["Sophia Antipolis, Laboratoire I3S CNRS, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia Antipolis, Laboratoire I3S CNRS, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210106479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003279946","display_name":"M.J. Rendas","orcid":"https://orcid.org/0000-0001-6407-0938"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maria Joao Rendas","raw_affiliation_strings":["Sophia Antipolis, Laboratoire 13S CNRS, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia Antipolis, Laboratoire 13S CNRS, France","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4552,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93921156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9128000140190125,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.8792129755020142},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.6466885805130005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6387252807617188},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.5389353632926941},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5380491614341736},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4901729226112366},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.42825254797935486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3620162606239319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3337421417236328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2207222878932953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16894638538360596},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15712961554527283},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.05161726474761963}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.8792129755020142},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.6466885805130005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6387252807617188},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.5389353632926941},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5380491614341736},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4901729226112366},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.42825254797935486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3620162606239319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3337421417236328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2207222878932953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16894638538360596},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15712961554527283},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.05161726474761963},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553459","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W656838156","https://openalex.org/W1726810423","https://openalex.org/W2008815158","https://openalex.org/W2025071037","https://openalex.org/W2057483887","https://openalex.org/W2092392156","https://openalex.org/W2779707181","https://openalex.org/W2905399339","https://openalex.org/W2963989174","https://openalex.org/W3106089123","https://openalex.org/W3106268119","https://openalex.org/W4249888275","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W4294845631","https://openalex.org/W2952090425","https://openalex.org/W2538333368","https://openalex.org/W3127866798","https://openalex.org/W1518153952"],"abstract_inverted_index":{"This":[0],"work":[1],"compares":[2],"the":[3,27,31,36,43,49,54,64],"performance":[4,21,41,71],"of":[5,19,26,35,42,53,69],"parametric":[6],"mixed-effects":[7],"models":[8,45],"to":[9],"a":[10],"completely":[11],"non-parametric":[12],"(NP)":[13],"approach":[14],"for":[15,22],"modelling":[16,68],"life-long":[17],"evolution":[18],"competition":[20],"athletes.":[23],"The":[24,39],"difficulty":[25],"problem":[28],"lies":[29],"in":[30],"strongly":[32],"unbalanced":[33],"characteristics":[34],"functional":[37],"dataset.":[38],"prediction":[40],"identified":[44],"is":[46,63,72],"compared,":[47],"revealing":[48],"advantages":[50],"and":[51],"limitations":[52],"two":[55],"approaches.":[56],"As":[57],"far":[58],"as":[59],"we":[60],"know":[61],"this":[62],"first":[65],"time":[66],"NP":[67],"athletic":[70],"attempted,":[73],"our":[74],"study":[75],"confirming":[76],"its":[77],"appropriateness":[78],"whenever":[79],"sufficiently":[80],"rich":[81],"datasets":[82],"are":[83],"available.":[84]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}