{"id":"https://openalex.org/W4383558673","doi":"https://doi.org/10.1145/3580507.3597773","title":"A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals","display_name":"A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383558673","doi":"https://doi.org/10.1145/3580507.3597773"},"language":"en","primary_location":{"id":"doi:10.1145/3580507.3597773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Conference on Economics and Computation","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/A5022261540","display_name":"Ali Aouad","orcid":"https://orcid.org/0000-0002-9812-6140"},"institutions":[{"id":"https://openalex.org/I61544103","display_name":"London Business School","ror":"https://ror.org/001c2sn75","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I61544103"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ali Aouad","raw_affiliation_strings":["London Business School, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9812-6140","affiliations":[{"raw_affiliation_string":"London Business School, London, United Kingdom","institution_ids":["https://openalex.org/I61544103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070149920","display_name":"Will Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Will Ma","raw_affiliation_strings":["Columbia University, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-2420-4468","affiliations":[{"raw_affiliation_string":"Columbia University, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022261540"],"corresponding_institution_ids":["https://openalex.org/I61544103"],"apc_list":null,"apc_paid":null,"fwci":3.9084,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94407882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9937999844551086,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9937999844551086,"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/T11182","display_name":"Auction Theory and Applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7066682577133179},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5869853496551514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5734645128250122},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5663354396820068},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5546407699584961},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5179964303970337},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4743667542934418},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.45099353790283203},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4388333559036255},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39031630754470825},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36213499307632446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3191477060317993},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2980767488479614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14350846409797668},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1275261640548706}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7066682577133179},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5869853496551514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734645128250122},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5663354396820068},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5546407699584961},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5179964303970337},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4743667542934418},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.45099353790283203},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4388333559036255},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39031630754470825},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36213499307632446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3191477060317993},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2980767488479614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14350846409797668},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1275261640548706},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580507.3597773","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580507.3597773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W2000242494","https://openalex.org/W4296826658","https://openalex.org/W1837630526","https://openalex.org/W2529605301","https://openalex.org/W2335589441","https://openalex.org/W1979697693","https://openalex.org/W2164312800"],"abstract_inverted_index":{"The":[0],"design":[1],"of":[2,29,39,46,52,54,79],"online":[3],"policies":[4,67],"for":[5],"stochastic":[6],"matching":[7,66],"and":[8,61],"revenue":[9],"management":[10],"settings":[11],"is":[12,23,62],"usually":[13],"bound":[14],"by":[15,25],"the":[16,20,44,50,77],"Bayesian":[17],"prior":[18],"that":[19,43,74],"demand":[21,45],"process":[22],"formed":[24],"a":[26,55],"fixed-length":[27],"sequence":[28],"queries":[30,53],"with":[31],"unknown":[32],"types,":[33],"each":[34,47],"drawn":[35],"independently.":[36],"This":[37],"assumption":[38],"serial":[40],"independence":[41],"implies":[42],"type,":[48,57],"i.e.,":[49],"number":[51],"given":[56],"has":[58],"low":[59],"variance":[60],"approximately":[63],"Poisson-distributed.":[64],"Thus,":[65],"are":[68],"often":[69],"based":[70],"on":[71],"\"fluid\"":[72],"LPs":[73],"only":[75],"use":[76],"expectations":[78],"these":[80],"distributions.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
