{"id":"https://openalex.org/W2799976532","doi":"https://doi.org/10.1109/icassp.2018.8462184","title":"Data-Driven Nonparametric Hypothesis Testing","display_name":"Data-Driven Nonparametric Hypothesis Testing","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2799976532","doi":"https://doi.org/10.1109/icassp.2018.8462184","mag":"2799976532"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101994499","display_name":"Yixian Liu","orcid":"https://orcid.org/0009-0007-1095-0025"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixian Liu","raw_affiliation_strings":["Information Technology, ShanghaiTech University \u2191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology, ShanghaiTech University \u2191","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384384","display_name":"Yingbin Liang","orcid":"https://orcid.org/0000-0003-2631-4262"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingbin Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Shenzhen Research Institute of Big Data"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4234","last_page":"4238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9990000128746033,"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":0.9990000128746033,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.996999979019165,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7210963368415833},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7172884941101074},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.6488271355628967},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.525322675704956},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.49756553769111633},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4958837926387787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49372920393943787},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.45963460206985474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39599722623825073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38645994663238525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3438360095024109}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7210963368415833},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7172884941101074},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.6488271355628967},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.525322675704956},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.49756553769111633},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4958837926387787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49372920393943787},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.45963460206985474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39599722623825073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38645994663238525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3438360095024109},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1492251543","https://openalex.org/W1967138577","https://openalex.org/W1981155179","https://openalex.org/W2020123437","https://openalex.org/W2033387638","https://openalex.org/W2090243370","https://openalex.org/W2100253601","https://openalex.org/W2112142266","https://openalex.org/W2127904409","https://openalex.org/W2132425342","https://openalex.org/W2166205892","https://openalex.org/W2210387432","https://openalex.org/W2588713139","https://openalex.org/W2768434904","https://openalex.org/W2951184396","https://openalex.org/W2963090585","https://openalex.org/W6674933258","https://openalex.org/W6685111459","https://openalex.org/W6733729519","https://openalex.org/W6746169667"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W1997747147","https://openalex.org/W4296826658","https://openalex.org/W4251996830","https://openalex.org/W2924932104","https://openalex.org/W2135894974","https://openalex.org/W4297915994","https://openalex.org/W2985158452","https://openalex.org/W2131297085","https://openalex.org/W2096774889"],"abstract_inverted_index":{"We":[0,46,67,84,118],"investigate":[1],"a":[2,11,20],"nonparametric":[3],"hypothesis":[4,44],"testing":[5,12,39,130],"problem,":[6],"in":[7,51,136],"which":[8,31,43],"we":[9],"assume":[10,47],"data":[13,40],"stream":[14],"is":[15,28,90],"generated":[16,60],"by":[17,61,92],"one":[18,32],"of":[19,22,33,79,99,127],"set":[21,53],"distributions":[23,36,50,64,100,110],"(hypotheses),":[24],"and":[25,74,114,129],"the":[26,34,38,52,62,69,76,80,87,93,104,108,115,122,125,138],"goal":[27],"to":[29],"test":[30],"multiple":[35],"generates":[37],"stream,":[41],"i.e.,":[42],"occurs.":[45],"that":[48,86,121],"some":[49],"are":[54,65],"unknown":[55],"with":[56],"only":[57],"training":[58,112,128],"sequences":[59,131],"corresponding":[63],"given.":[66],"construct":[68],"generalized":[70],"likelihood":[71],"(GL)":[72],"test,":[73],"characterize":[75],"error":[77,82,88,139],"exponent":[78,89],"maximum":[81],"probability.":[83],"show":[85,120],"captured":[91],"Chernoff":[94],"distance":[95],"between":[96,107,124],"each":[97],"pair":[98],"as":[101,103],"well":[102],"KL":[105],"divergence":[106],"approximated":[109],"(via":[111],"sequences)":[113],"true":[116],"distributions.":[117],"also":[119],"ratio":[123],"lengths":[126],"plays":[132],"an":[133],"important":[134],"role":[135],"determining":[137],"decay":[140],"behavior.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
