{"id":"https://openalex.org/W4385246765","doi":"https://doi.org/10.1515/rose-2023-2011","title":"Modified information criterion for detecting changes in skew slash distribution","display_name":"Modified information criterion for detecting changes in skew slash distribution","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4385246765","doi":"https://doi.org/10.1515/rose-2023-2011"},"language":"en","primary_location":{"id":"doi:10.1515/rose-2023-2011","doi":"https://doi.org/10.1515/rose-2023-2011","is_oa":false,"landing_page_url":"https://doi.org/10.1515/rose-2023-2011","pdf_url":null,"source":{"id":"https://openalex.org/S131510807","display_name":"Random Operators and Stochastic Equations","issn_l":"0926-6364","issn":["0926-6364","1539-397X","1569-397X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Random Operators and Stochastic Equations","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4385246765"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5054099885","display_name":"Li Mei","orcid":"https://orcid.org/0000-0002-3617-653X","observed_orcids":["https://orcid.org/0000-0002-3617-653X"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Li","raw_affiliation_strings":["School of Mathematics and Statistics , Beijing Institute of Technology , Beijing , P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics , Beijing Institute of Technology , Beijing , P. R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027726845","display_name":"Yubin Tian","orcid":"https://orcid.org/0000-0002-3162-5738","observed_orcids":["https://orcid.org/0000-0002-3162-5738"]},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Tian","raw_affiliation_strings":["School of Mathematics and Statistics , Beijing Institute of Technology , Beijing , P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics , Beijing Institute of Technology , Beijing , P. R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043980312","display_name":"Wei Ning","orcid":"https://orcid.org/0000-0002-2056-3236","observed_orcids":["https://orcid.org/0000-0002-2056-3236"]},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Ning","raw_affiliation_strings":["Department of Mathematics and Statistics , Bowling Green State University , Bowling Green , OH 43403 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics , Bowling Green State University , Bowling Green , OH 43403 , USA","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043980312"],"corresponding_institution_ids":["https://openalex.org/I157417397"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2163},"apc_paid":null,"fwci":0.4899,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65753925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"31","issue":"3","first_page":"245","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8661999702453613,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8661999702453613,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.10769999772310257,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.00430000014603138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/change-point-detection","display_name":"change point detection","score":0.9800000190734863},{"id":"https://openalex.org/keywords/confidence-distributions","display_name":"confidence distributions","score":0.9150000214576721},{"id":"https://openalex.org/keywords/heavy-tailed-distributions","display_name":"heavy-tailed distributions","score":0.859000027179718},{"id":"https://openalex.org/keywords/skewness","display_name":"skewness","score":0.7649999856948853},{"id":"https://openalex.org/keywords/change-point-estimation","display_name":"change point estimation","score":0.5979999899864197}],"concepts":[{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.7571107149124146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7124050855636597},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.7058663964271545},{"id":"https://openalex.org/C43694697","wikidata":"https://www.wikidata.org/wiki/Q3258551","display_name":"Skew normal distribution","level":3,"score":0.6187428832054138},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5668115615844727},{"id":"https://openalex.org/C2779243077","wikidata":"https://www.wikidata.org/wiki/Q7538777","display_name":"Slash (logging)","level":2,"score":0.5218690633773804},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5093554258346558},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46642857789993286},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4530697166919708},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4343382716178894},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4105868935585022},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37387874722480774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23361855745315552},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/rose-2023-2011","doi":"https://doi.org/10.1515/rose-2023-2011","is_oa":false,"landing_page_url":"https://doi.org/10.1515/rose-2023-2011","pdf_url":null,"source":{"id":"https://openalex.org/S131510807","display_name":"Random Operators and Stochastic Equations","issn_l":"0926-6364","issn":["0926-6364","1539-397X","1569-397X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Random Operators and Stochastic Equations","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639907764","https://openalex.org/W1757639814","https://openalex.org/W1985971417","https://openalex.org/W1992110458","https://openalex.org/W2007666360","https://openalex.org/W2013750849","https://openalex.org/W2025913337","https://openalex.org/W2033487414","https://openalex.org/W2043335416","https://openalex.org/W2046574800","https://openalex.org/W2051903196","https://openalex.org/W2052542886","https://openalex.org/W2076635098","https://openalex.org/W2090435477","https://openalex.org/W2092224475","https://openalex.org/W2095283167","https://openalex.org/W2102153254","https://openalex.org/W2116855184","https://openalex.org/W2146855196","https://openalex.org/W2187684236","https://openalex.org/W2375947209","https://openalex.org/W2763122206","https://openalex.org/W2774835164","https://openalex.org/W2920117649","https://openalex.org/W3020103789","https://openalex.org/W3035056626","https://openalex.org/W6600213211"],"related_works":["https://openalex.org/W3020103789","https://openalex.org/W2920117649","https://openalex.org/W3035056626","https://openalex.org/W4404638317","https://openalex.org/W1985971417","https://openalex.org/W2792808384","https://openalex.org/W2013750849","https://openalex.org/W7024741701","https://openalex.org/W2040962083","https://openalex.org/W4403305842"],"abstract_inverted_index":{"Abstract":[0],"Skew":[1],"slash":[2,53],"distribution":[3,6,54,71],"is":[4,15],"a":[5,47],"which":[7],"considers":[8],"both":[9],"skewness":[10],"and":[11,21,106,123],"heavy":[12],"tail.":[13],"It":[14],"very":[16],"useful":[17],"in":[18,23,33,99],"simulation":[19,90],"studies":[20],"realistic":[22],"representing":[24],"practical":[25],"data":[26,34,122],"due":[27],"to":[28,73,120],"its":[29],"less":[30],"peaks,":[31],"especially":[32],"sets":[35],"that":[36,93],"violate":[37],"the":[38,57,75,85,89,94,103,113,125,128],"assumption":[39],"of":[40,77,101,109,127],"normality.":[41],"In":[42,112],"this":[43],"article,":[44],"we":[45,63,115],"propose":[46],"change-point":[48],"detection":[49],"procedure":[50],"for":[51],"skew":[52],"based":[55,68],"on":[56,69],"modified":[58],"information":[59],"criterion":[60],"(MIC).":[61],"Meanwhile,":[62],"provide":[64],"an":[65],"estimation":[66],"approach":[67],"confidence":[70,110],"(CD)":[72],"measure":[74],"accuracy":[76],"change":[78,129],"point":[79],"location":[80],"estimation.":[81],"By":[82],"comparing":[83],"with":[84],"likelihood":[86],"ratio":[87],"test,":[88],"results":[91],"show":[92],"MIC-based":[95],"method":[96,119],"performs":[97],"better":[98],"terms":[100],"powers,":[102],"coverage":[104],"probabilities":[105],"average":[107],"lengths":[108],"sets.":[111],"end,":[114],"apply":[116],"our":[117],"proposed":[118],"real":[121],"locate":[124],"positions":[126],"points":[130],"successfully.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2023-07-26T00:00:00"}