{"id":"https://openalex.org/W3196209110","doi":"https://doi.org/10.1109/ssp49050.2021.9513802","title":"A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design","display_name":"A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3196209110","doi":"https://doi.org/10.1109/ssp49050.2021.9513802","mag":"3196209110"},"language":"en","primary_location":{"id":"doi:10.1109/ssp49050.2021.9513802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","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/A5028779362","display_name":"Fernando Llorente","orcid":"https://orcid.org/0000-0003-4436-5709"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Fernando Llorente","raw_affiliation_strings":["Universidad Carlos III de Madrid, L\u00e9ganes, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, L\u00e9ganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016290792","display_name":"Luca Martino","orcid":"https://orcid.org/0000-0002-7611-6558"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luca Martino","raw_affiliation_strings":["Universidad Rey Juan Carlos I, M\u00f3stoles, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Rey Juan Carlos I, M\u00f3stoles, Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Elvira","raw_affiliation_strings":["The University of Edinburgh, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"The University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044288285","display_name":"David Delgado\u2010G\u00f3mez","orcid":"https://orcid.org/0000-0002-2976-2602"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Delgado","raw_affiliation_strings":["Universidad Carlos III de Madrid, L\u00e9ganes, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, L\u00e9ganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028779362"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09108488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"81","issue":null,"first_page":"301","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"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/T12404","display_name":"Mathematical Approximation and Integration","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9930999875068665,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6964343786239624},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.6943210363388062},{"id":"https://openalex.org/keywords/quadrature","display_name":"Quadrature (astronomy)","score":0.6863958835601807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6209661960601807},{"id":"https://openalex.org/keywords/adaptive-quadrature","display_name":"Adaptive quadrature","score":0.5989677906036377},{"id":"https://openalex.org/keywords/numerical-integration","display_name":"Numerical integration","score":0.5613716840744019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5583996772766113},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.44778215885162354},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4412177801132202},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.420634925365448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3679324984550476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2789447009563446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2319241166114807},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17735692858695984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13511693477630615},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.12797486782073975},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1039896309375763},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09573602676391602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09302538633346558}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6964343786239624},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.6943210363388062},{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.6863958835601807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209661960601807},{"id":"https://openalex.org/C184599523","wikidata":"https://www.wikidata.org/wiki/Q4680758","display_name":"Adaptive quadrature","level":4,"score":0.5989677906036377},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.5613716840744019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5583996772766113},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.44778215885162354},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4412177801132202},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.420634925365448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3679324984550476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2789447009563446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2319241166114807},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17735692858695984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13511693477630615},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.12797486782073975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1039896309375763},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09573602676391602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09302538633346558},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp49050.2021.9513802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","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":36,"referenced_works":["https://openalex.org/W41222772","https://openalex.org/W88520345","https://openalex.org/W1519529766","https://openalex.org/W1933639893","https://openalex.org/W2014602125","https://openalex.org/W2026949629","https://openalex.org/W2028510317","https://openalex.org/W2054091988","https://openalex.org/W2072475940","https://openalex.org/W2080017901","https://openalex.org/W2110720940","https://openalex.org/W2123487311","https://openalex.org/W2146332636","https://openalex.org/W2151084831","https://openalex.org/W2163255905","https://openalex.org/W2167061265","https://openalex.org/W2204383650","https://openalex.org/W2225705292","https://openalex.org/W2497530411","https://openalex.org/W2558622672","https://openalex.org/W2602518026","https://openalex.org/W2735102987","https://openalex.org/W2795324728","https://openalex.org/W2963840576","https://openalex.org/W2983590566","https://openalex.org/W3000108011","https://openalex.org/W3000534101","https://openalex.org/W3031275541","https://openalex.org/W4232464081","https://openalex.org/W4285674400","https://openalex.org/W4292691288","https://openalex.org/W4293506642","https://openalex.org/W4300580367","https://openalex.org/W6772526312","https://openalex.org/W6772974725","https://openalex.org/W7026840405"],"related_works":["https://openalex.org/W4294281846","https://openalex.org/W2032097736","https://openalex.org/W2929787118","https://openalex.org/W2363106919","https://openalex.org/W4378009103","https://openalex.org/W1964714150","https://openalex.org/W2113978750","https://openalex.org/W3209092925","https://openalex.org/W3007120722","https://openalex.org/W2349203673"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,9,15,29,37],"novel":[3],"adaptive":[4],"quadrature":[5,23],"scheme":[6],"based":[7],"on":[8],"Nearest":[10],"Neighbors":[11],"(NN)":[12],"approach":[13,57],"and":[14,43,66],"sequential":[16],"design":[17],"procedure.":[18],"The":[19,33],"nodes":[20],"of":[21,45,54],"the":[22,41,52,55],"are":[24],"adaptively":[25],"chosen":[26],"by":[27],"maximizing":[28],"suitable":[30],"acquisition":[31],"function.":[32],"proposed":[34,56],"method":[35],"is":[36],"powerful":[38],"tool":[39],"for":[40],"integration":[42],"emulation":[44],"complex":[46],"posterior":[47],"distributions.":[48],"Numerical":[49],"results":[50],"show":[51],"advantage":[53],"with":[58],"respect":[59],"to":[60],"Markov":[61],"Chain":[62],"Monte":[63],"Carlo":[64],"(MCMC)":[65],"importance":[67],"sampling":[68],"algorithms.":[69]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}