{"id":"https://openalex.org/W4393192433","doi":"https://doi.org/10.1007/s11222-024-10419-3","title":"Novel sampling method for the von Mises\u2013Fisher distribution","display_name":"Novel sampling method for the von Mises\u2013Fisher distribution","publication_year":2024,"publication_date":"2024-03-26","ids":{"openalex":"https://openalex.org/W4393192433","doi":"https://doi.org/10.1007/s11222-024-10419-3"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-024-10419-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10419-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-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/A5102635696","display_name":"Seungwoo Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwoo Kang","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032931435","display_name":"Hee\u2010Seok Oh","orcid":"https://orcid.org/0000-0002-1501-0530"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hee-Seok Oh","raw_affiliation_strings":["Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Seoul, 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032931435"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":1.0785,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79500289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"34","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"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":0.9998999834060669,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/mathematics","display_name":"Mathematics","score":0.6020355224609375},{"id":"https://openalex.org/keywords/von-mises-yield-criterion","display_name":"von Mises yield criterion","score":0.5914080142974854},{"id":"https://openalex.org/keywords/von-mises-distribution","display_name":"von Mises distribution","score":0.5055093765258789},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.49062052369117737},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42629456520080566},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41145819425582886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3308270573616028},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.12159895896911621},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11745136976242065}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6020355224609375},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.5914080142974854},{"id":"https://openalex.org/C198138136","wikidata":"https://www.wikidata.org/wiki/Q7941490","display_name":"von Mises distribution","level":4,"score":0.5055093765258789},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.49062052369117737},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42629456520080566},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41145819425582886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3308270573616028},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.12159895896911621},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11745136976242065},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-024-10419-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10419-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3285623891","display_name":null,"funder_award_id":"2021R1A2C1091357","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1866637071","https://openalex.org/W2018345399","https://openalex.org/W2026437537","https://openalex.org/W2037352829","https://openalex.org/W2052879155","https://openalex.org/W2059993298","https://openalex.org/W2064417727","https://openalex.org/W2080094394","https://openalex.org/W2084008613","https://openalex.org/W2085038710","https://openalex.org/W2104228767","https://openalex.org/W2133578061","https://openalex.org/W2204771532","https://openalex.org/W2312876895","https://openalex.org/W2611305079","https://openalex.org/W2748354746","https://openalex.org/W3132771660","https://openalex.org/W3136774635","https://openalex.org/W4246202668"],"related_works":["https://openalex.org/W2015913877","https://openalex.org/W2743399515","https://openalex.org/W2912327495","https://openalex.org/W4288598478","https://openalex.org/W2002927610","https://openalex.org/W2108205837","https://openalex.org/W4240108915","https://openalex.org/W1849160524","https://openalex.org/W3107697994","https://openalex.org/W2080094394"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}