{"id":"https://openalex.org/W2074925781","doi":"https://doi.org/10.1145/1374376.1374421","title":"Pricing combinatorial markets for tournaments","display_name":"Pricing combinatorial markets for tournaments","publication_year":2008,"publication_date":"2008-05-17","ids":{"openalex":"https://openalex.org/W2074925781","doi":"https://doi.org/10.1145/1374376.1374421","mag":"2074925781"},"language":"en","primary_location":{"id":"doi:10.1145/1374376.1374421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1374376.1374421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fortieth annual ACM symposium on Theory of computing","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/A5100738428","display_name":"Yiling Chen","orcid":"https://orcid.org/0000-0003-4485-3227"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yiling Chen","raw_affiliation_strings":["Yahoo! Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210133173","https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027036879","display_name":"Sharad Goel","orcid":"https://orcid.org/0000-0002-6103-9318"},"institutions":[{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]},{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharad Goel","raw_affiliation_strings":["Yahoo! Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210133173","https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106235930","display_name":"David M. Pennock","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I4210133173","display_name":"Research!America (United States)","ror":"https://ror.org/044pgyv50","country_code":"US","type":"company","lineage":["https://openalex.org/I4210133173"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David M. Pennock","raw_affiliation_strings":["Yahoo! Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210133173","https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100738428"],"corresponding_institution_ids":["https://openalex.org/I4210133173","https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":25.9586,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.99303606,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9998000264167786,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9998000264167786,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9779000282287598,"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/outcome","display_name":"Outcome (game theory)","score":0.7775031328201294},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5770124197006226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5465608835220337},{"id":"https://openalex.org/keywords/prediction-market","display_name":"Prediction market","score":0.5400242805480957},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4998643398284912},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.44573405385017395},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.42487800121307373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4194556772708893},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41569292545318604},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4153302311897278},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3205292224884033},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3154928982257843},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.28415608406066895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21644243597984314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09850838780403137}],"concepts":[{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.7775031328201294},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5770124197006226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5465608835220337},{"id":"https://openalex.org/C2780021719","wikidata":"https://www.wikidata.org/wiki/Q282283","display_name":"Prediction market","level":2,"score":0.5400242805480957},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4998643398284912},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.44573405385017395},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.42487800121307373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4194556772708893},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41569292545318604},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4153302311897278},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3205292224884033},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3154928982257843},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.28415608406066895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21644243597984314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09850838780403137},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1374376.1374421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1374376.1374421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fortieth annual ACM symposium on Theory of computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.232.7141","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.7141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://messymatters.com/sharad/papers/tournaments.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.91.4037","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.4037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cam.cornell.edu/~sharad/papers/tournament-markets.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W618991820","https://openalex.org/W1590486901","https://openalex.org/W1599628716","https://openalex.org/W1972265965","https://openalex.org/W2006553348","https://openalex.org/W2021278244","https://openalex.org/W2022409925","https://openalex.org/W2029909441","https://openalex.org/W2036229720","https://openalex.org/W2072443840","https://openalex.org/W2115826669","https://openalex.org/W2120832833","https://openalex.org/W2122410182","https://openalex.org/W2128779455","https://openalex.org/W2150864256","https://openalex.org/W2158785006","https://openalex.org/W2159080219","https://openalex.org/W2501499209","https://openalex.org/W2952078074","https://openalex.org/W3121654897","https://openalex.org/W3137614770","https://openalex.org/W3143177940","https://openalex.org/W4230053487","https://openalex.org/W6678087030"],"related_works":["https://openalex.org/W4310648362","https://openalex.org/W2950639500","https://openalex.org/W1987264987","https://openalex.org/W4300212987","https://openalex.org/W2951801950","https://openalex.org/W2585063162","https://openalex.org/W4297670780","https://openalex.org/W1482189126","https://openalex.org/W2294918614","https://openalex.org/W4293853118"],"abstract_inverted_index":{"In":[0,82],"a":[1,12,27,52,67,120,124,130,182],"prediction":[2],"market,":[3],"agents":[4,43],"trade":[5,46],"assets":[6],"whose":[7],"value":[8],"is":[9,40,103,116,140,166,174],"tied":[10],"to":[11,44,55,65],"future":[13],"event,":[14],"for":[15,93,114,123,149,169,186],"example":[16,150],"the":[17,20,31,37,77,87,100,110,135,144,153,167,187],"outcome":[18,38,78,101],"of":[19,33,71,89,104,134,146,152],"next":[21],"presidential":[22],"election.":[23],"Asset":[24],"prices":[25],"determine":[26],"probability":[28,136],"distribution":[29,70],"over":[30],"set":[32],"possible":[34],"outcomes.":[35],"Typically,":[36],"space":[39,79,102],"small,":[41],"allowing":[42,51,148],"directly":[45],"in":[47,62,74,143],"each":[48],"outcome,":[49],"and":[50,177],"market":[53,171],"maker":[54],"explicitly":[56],"update":[57],"asset":[58],"prices.":[59],"Combinatorial":[60],"markets,":[61],"contrast,":[63],"work":[64],"estimate":[66],"full":[68],"joint":[69],"dependent":[72],"observations,":[73],"which":[75],"case":[76],"grows":[80],"exponentially.":[81],"this":[83],"paper,":[84],"we":[85],"consider":[86],"problem":[88,113],"pricing":[90,112],"combinatorial":[91,170],"markets":[92],"single-elimination":[94],"tournaments.":[95],"With":[96],"$n$":[97],"competing":[98],"teams,":[99],"size":[105],"2n-1.":[106],"We":[107,118,160,179],"show":[108],"that":[109,162,173],"general":[111,188],"tournaments":[115],"P-hard.":[117],"derive":[119],"polynomial-time":[121],"algorithm":[122],"restricted":[125],"betting":[126,164],"language":[127,139,165],"based":[128],"on":[129],"Bayesian":[131],"network":[132],"representation":[133],"distribution.":[137],"The":[138],"fairly":[141],"natural":[142],"context":[145],"tournaments,":[147],"bets":[151],"form":[154],"\"team":[155],"i":[156],"wins":[157],"game":[158],"k\".":[159],"believe":[161],"our":[163],"first":[168],"makers":[172],"both":[175],"useful":[176],"tractable.":[178],"briefly":[180],"discuss":[181],"heuristic":[183],"approximation":[184],"technique":[185],"case.":[189]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
