{"id":"https://openalex.org/W4253525881","doi":"https://doi.org/10.1109/wsc.2012.6465250","title":"Sampling point processes on stable unbounded regions and exact simulation of queues","display_name":"Sampling point processes on stable unbounded regions and exact simulation of queues","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W4253525881","doi":"https://doi.org/10.1109/wsc.2012.6465250"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2012.6465250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2012.6465250","pdf_url":null,"source":{"id":"https://openalex.org/S4363608782","display_name":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Title: Proceedings of the 2012 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/A5011147039","display_name":"Jos\u00e9 Blanchet","orcid":"https://orcid.org/0000-0001-5895-0912"},"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":true,"raw_author_name":"Jose Blanchet","raw_affiliation_strings":["Industrial Engineering and Operations Research Department, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering and Operations Research Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109151648","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0002-4589-1471"},"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":"Jing Dong","raw_affiliation_strings":["Industrial Engineering and Operations Research Department, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering and Operations Research Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011147039"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62162162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"102","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":1.0,"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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/T11716","display_name":"Random Matrices and Applications","score":0.9977999925613403,"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/corollary","display_name":"Corollary","score":0.7798077464103699},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.6748394966125488},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.6119971871376038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759400129318237},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5704273581504822},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.552153468132019},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5417320132255554},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5373647809028625},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5076612234115601},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4708152413368225},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4698311984539032},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44266849756240845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41806384921073914},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41567230224609375},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.26156699657440186},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09598517417907715},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06915894150733948}],"concepts":[{"id":"https://openalex.org/C2780012671","wikidata":"https://www.wikidata.org/wiki/Q1343870","display_name":"Corollary","level":2,"score":0.7798077464103699},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.6748394966125488},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.6119971871376038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759400129318237},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5704273581504822},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.552153468132019},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5417320132255554},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5373647809028625},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5076612234115601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4708152413368225},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4698311984539032},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44266849756240845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41806384921073914},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41567230224609375},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.26156699657440186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09598517417907715},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06915894150733948},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2012.6465250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2012.6465250","pdf_url":null,"source":{"id":"https://openalex.org/S4363608782","display_name":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.5536","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.5536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc12papers/includes/files/inv190.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1509524566","https://openalex.org/W1602773783","https://openalex.org/W1980625823","https://openalex.org/W2003869889","https://openalex.org/W2033229837","https://openalex.org/W2043283900","https://openalex.org/W2084085975","https://openalex.org/W4247413233","https://openalex.org/W4250114020","https://openalex.org/W4302856910"],"related_works":["https://openalex.org/W2376029318","https://openalex.org/W2388301251","https://openalex.org/W2013770701","https://openalex.org/W3013941779","https://openalex.org/W1998659141","https://openalex.org/W3195376785","https://openalex.org/W2951185269","https://openalex.org/W2319937810","https://openalex.org/W2370435933","https://openalex.org/W2947625790"],"abstract_inverted_index":{"Given":[0],"a":[1,67],"marked":[2],"renewal":[3],"point":[4,28],"process":[5,29],"(assuming":[6],"that":[7,14,39,78],"the":[8,27,54,61],"marks":[9],"are":[10,81],"i.i.d.)":[11],"we":[12,36,95],"say":[13],"an":[15],"unbounded":[16],"region":[17],"is":[18],"stable":[19],"if":[20],"it":[21],"contains":[22],"finitely":[23,44],"many":[24,45],"points":[25,46],"of":[26,53,60,70,103],"with":[30],"probability":[31],"one.":[32],"In":[33],"this":[34],"paper":[35],"provide":[37,74],"algorithms":[38,80],"allow":[40],"to":[41,100],"sample":[42],"these":[43],"efficiently.":[47],"We":[48,73],"explain":[49],"how":[50],"exact":[51],"simulation":[52,91],"steady-state":[55,104],"measure":[56],"valued":[57],"state":[58],"descriptor":[59],"infinite":[62],"server":[63],"queue":[64],"follows":[65],"as":[66],"simple":[68],"corollary":[69],"our":[71,79,98],"algorithms.":[72],"numerical":[75],"evidence":[76],"supporting":[77],"not":[82],"only":[83],"theoretically":[84],"sound":[85],"but":[86],"also":[87,96],"practical.":[88],"Finally,":[89],"having":[90],"optimization":[92],"in":[93],"mind,":[94],"apply":[97],"results":[99],"gradient":[101],"estimation":[102],"performance":[105],"measures.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}