{"id":"https://openalex.org/W3213809847","doi":"https://doi.org/10.1109/mfi52462.2021.9591198","title":"Mean Mixtures in Directional Statistics","display_name":"Mean Mixtures in Directional Statistics","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3213809847","doi":"https://doi.org/10.1109/mfi52462.2021.9591198","mag":"3213809847"},"language":"en","primary_location":{"id":"doi:10.1109/mfi52462.2021.9591198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","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/A5075366833","display_name":"Priyanka Nagar","orcid":"https://orcid.org/0000-0002-1775-8905"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Priyanka Nagar","raw_affiliation_strings":["University of Pretoria, Pretoria, South Afrka"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Afrka","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024962335","display_name":"Andri\u00ebtte Bekker","orcid":"https://orcid.org/0000-0003-4793-5674"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andriette Bekker","raw_affiliation_strings":["University of Pretoria, Pretoria, South Afrka"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Afrka","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066559252","display_name":"\u200eM\u200eohammad Arashi","orcid":"https://orcid.org/0000-0002-5881-9241"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]},{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["IR","ZA"],"is_corresponding":false,"raw_author_name":"Mohammad Arashi","raw_affiliation_strings":["Ferdowsi University of Mashhad, Mashhad, Iran","University of Pretoria, Pretoria, South Afrka"],"affiliations":[{"raw_affiliation_string":"Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"University of Pretoria, Pretoria, South Afrka","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075366833"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1708661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/unimodality","display_name":"Unimodality","score":0.9412474632263184},{"id":"https://openalex.org/keywords/bimodality","display_name":"Bimodality","score":0.7583765983581543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6428823471069336},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.578364908695221},{"id":"https://openalex.org/keywords/weight-function","display_name":"Weight function","score":0.5697404146194458},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.5554535984992981},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.5202499628067017},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48863011598587036},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.48235267400741577},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46095776557922363},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4447647035121918},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3298608362674713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21181297302246094},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1623276174068451},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08851826190948486}],"concepts":[{"id":"https://openalex.org/C21596040","wikidata":"https://www.wikidata.org/wiki/Q2896771","display_name":"Unimodality","level":2,"score":0.9412474632263184},{"id":"https://openalex.org/C2779287300","wikidata":"https://www.wikidata.org/wiki/Q4913752","display_name":"Bimodality","level":3,"score":0.7583765983581543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6428823471069336},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.578364908695221},{"id":"https://openalex.org/C134466208","wikidata":"https://www.wikidata.org/wiki/Q1520657","display_name":"Weight function","level":2,"score":0.5697404146194458},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.5554535984992981},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.5202499628067017},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48863011598587036},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.48235267400741577},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46095776557922363},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4447647035121918},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3298608362674713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21181297302246094},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1623276174068451},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08851826190948486},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi52462.2021.9591198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309788","display_name":"Neurosciences Research Foundation","ror":"https://ror.org/05exfab56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W202565516","https://openalex.org/W1980885700","https://openalex.org/W2018271751","https://openalex.org/W2020108938","https://openalex.org/W2032156573","https://openalex.org/W2056481674","https://openalex.org/W2062454756","https://openalex.org/W2131103444","https://openalex.org/W2314640094","https://openalex.org/W2517983048","https://openalex.org/W2605189531","https://openalex.org/W2611305079","https://openalex.org/W2769592479","https://openalex.org/W2895907638","https://openalex.org/W2897694661","https://openalex.org/W2902076525","https://openalex.org/W2912397512","https://openalex.org/W2949265779","https://openalex.org/W2969928084","https://openalex.org/W3003201308","https://openalex.org/W3013267890","https://openalex.org/W3024854090","https://openalex.org/W3036461599","https://openalex.org/W3039533909","https://openalex.org/W3082690997","https://openalex.org/W3088475691","https://openalex.org/W3136774635","https://openalex.org/W3147919432","https://openalex.org/W3183480685","https://openalex.org/W4230813007","https://openalex.org/W4254955164","https://openalex.org/W4285719527","https://openalex.org/W4372779212","https://openalex.org/W6726241522","https://openalex.org/W6767249909","https://openalex.org/W6773369015","https://openalex.org/W6777114091","https://openalex.org/W6777473971","https://openalex.org/W6780210415"],"related_works":["https://openalex.org/W2080037652","https://openalex.org/W1972384202","https://openalex.org/W2752425037","https://openalex.org/W2025579956","https://openalex.org/W2400526720","https://openalex.org/W1489410997","https://openalex.org/W3110135481","https://openalex.org/W2953175414","https://openalex.org/W2014266103","https://openalex.org/W1027343713"],"abstract_inverted_index":{"We":[0],"construct":[1],"a":[2,12,19,69,99],"family":[3,25],"of":[4,26,39,48,74,87],"distributions":[5,27],"on":[6,36],"the":[7,37,40,75,80,88],"unit":[8],"hyper-sphere":[9],"by":[10,53],"conditioning":[11],"spherical":[13],"normal":[14],"mean":[15],"mixture":[16],"distribution":[17],"with":[18,64],"general":[20],"weight":[21,41,66],"function.":[22],"The":[23,46,55,85],"resulting":[24],"accounts":[28],"for":[29],"symmetry,":[30],"asymmetry,":[31],"unimodality":[32],"and":[33,43,57,105],"bimodality":[34],"depending":[35],"choice":[38],"function":[42],"parameter":[44],"set.":[45],"problem":[47],"identifiability":[49],"is":[50,83,103],"partially":[51],"addressed":[52],"re-parameterization.":[54],"circle":[56],"sphere":[58],"are":[59],"considered":[60],"as":[61,96,98],"special":[62],"cases":[63],"various":[65],"functions":[67],"in":[68,79],"numerical":[70,81],"illustration.":[71],"A":[72],"synopsis":[73],"estimation":[76],"procedure":[77],"utilized":[78],"study":[82],"given.":[84],"fit":[86],"proposed":[89],"model":[90],"to":[91,107],"two":[92],"real":[93],"data":[94,101],"sets":[95],"well":[97,108],"simulated":[100],"set":[102],"evaluated":[104],"compared":[106],"known":[109],"circular":[110],"models.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
