{"id":"https://openalex.org/W4406612381","doi":"https://doi.org/10.1109/wsc63780.2024.10838969","title":"Plausible Inference with a Plausible Lipschitz Constant","display_name":"Plausible Inference with a Plausible Lipschitz Constant","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612381","doi":"https://doi.org/10.1109/wsc63780.2024.10838969"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","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/A5008236598","display_name":"Gregory Keslin","orcid":"https://orcid.org/0009-0004-2615-251X"},"institutions":[{"id":"https://openalex.org/I4210155590","display_name":"Management Sciences (United States)","ror":"https://ror.org/05shz5j84","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155590"]},{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gregory Keslin","raw_affiliation_strings":["Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I4210155590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050269446","display_name":"Daniel W. Apley","orcid":"https://orcid.org/0000-0002-8545-4612"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I4210155590","display_name":"Management Sciences (United States)","ror":"https://ror.org/05shz5j84","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel W. Apley","raw_affiliation_strings":["Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I4210155590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026731126","display_name":"Barry L. Nelson","orcid":"https://orcid.org/0000-0002-1325-2624"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I4210155590","display_name":"Management Sciences (United States)","ror":"https://ror.org/05shz5j84","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry L. Nelson","raw_affiliation_strings":["Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University,Dept. of Industrial Engineering &#x0026; Management Sciences,Evanston,IL,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I4210155590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008236598"],"corresponding_institution_ids":["https://openalex.org/I111979921","https://openalex.org/I4210155590"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70895768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3554","last_page":"3565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.1639000028371811,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.1639000028371811,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.16169999539852142,"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/inference","display_name":"Inference","score":0.7433086633682251},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.7225161194801331},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.705758273601532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4941275417804718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35448193550109863},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32174068689346313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2750588059425354},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1331828534603119}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7433086633682251},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.7225161194801331},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.705758273601532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4941275417804718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35448193550109863},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32174068689346313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2750588059425354},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1331828534603119},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G417507089","display_name":null,"funder_award_id":"2206973","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W135104305","https://openalex.org/W2026299065","https://openalex.org/W2052725501","https://openalex.org/W2092611373","https://openalex.org/W3140696046","https://openalex.org/W4210474094","https://openalex.org/W4211107109","https://openalex.org/W4213440810","https://openalex.org/W4233445212","https://openalex.org/W6734945091","https://openalex.org/W6763711611","https://openalex.org/W7071392890"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3185235544","https://openalex.org/W4297791327","https://openalex.org/W1979597421","https://openalex.org/W2897842840","https://openalex.org/W2007980826","https://openalex.org/W2911623553","https://openalex.org/W2052725501","https://openalex.org/W3084156746","https://openalex.org/W4287670495"],"abstract_inverted_index":{"Plausible":[0,36],"inference":[1,37,56,110,122],"is":[2,82,98,117],"a":[3,13,26,83],"growing":[4],"body":[5],"of":[6,19,28,47,63,86],"literature":[7],"that":[8,50,66,116],"treats":[9],"stochastic":[10],"simulation":[11,21,88],"as":[12,25,124,126],"gray":[14],"box":[15],"when":[16],"structural":[17,84],"properties":[18,40],"the":[20,43,73,91,130],"output":[22,58],"performance":[23,59],"measures":[24,60],"function":[27],"design,":[29],"decision":[30,48,64],"or":[31,76],"contextual":[32],"variables":[33,49,65],"are":[34,78],"known.":[35,100],"exploits":[38],"these":[39],"to":[41,54,107,128,133],"allow":[42],"outputs":[44],"from":[45],"values":[46,62],"have":[51,67],"been":[52,69],"simulated":[53],"provide":[55],"about":[57,72],"at":[61],"not":[68],"simulated;":[70],"statements":[71],"possible":[74],"optimality":[75],"feasibility":[77],"examples.":[79],"Lipschitz":[80,114],"continuity":[81],"property":[85],"many":[87],"problems.":[89],"Unfortunately,":[90],"all-important-and":[92],"essential":[93],"for":[94],"plausible":[95,109,121],"inference-Lipschitz":[96],"constant":[97,115],"rarely":[99],"In":[101],"this":[102],"paper":[103],"we":[104],"show":[105],"how":[106,127],"obtain":[108],"with":[111],"an":[112],"estimated":[113],"also":[118],"derived":[119],"by":[120],"reasoning,":[123],"well":[125],"create":[129],"experiment":[131],"design":[132],"simulate.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
