{"id":"https://openalex.org/W3160425651","doi":"https://doi.org/10.1137/19m1286694","title":"A Semiautomatic Method for History Matching Using Sequential Monte Carlo","display_name":"A Semiautomatic Method for History Matching Using Sequential Monte Carlo","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3160425651","doi":"https://doi.org/10.1137/19m1286694","mag":"3160425651"},"language":"en","primary_location":{"id":"doi:10.1137/19m1286694","is_oa":false,"landing_page_url":"https://doi.org/10.1137/19m1286694","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.03133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070517866","display_name":"Christopher Drovandi","orcid":"https://orcid.org/0000-0001-9222-8763"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Drovandi","raw_affiliation_strings":["Queensland University of Technology.,"],"raw_orcid":"https://orcid.org/0000-0001-9222-8763","affiliations":[{"raw_affiliation_string":"Queensland University of Technology.,","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005139027","display_name":"David J. Nott","orcid":"https://orcid.org/0000-0002-5416-0005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David J. Nott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028328813","display_name":"Dan Pagendam","orcid":"https://orcid.org/0000-0002-8347-4767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel E. Pagendam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05355921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"3","first_page":"1034","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10597","display_name":"Nuclear reactor physics and engineering","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10894","display_name":"Groundwater flow and contamination studies","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647985577583313},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6357976794242859},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6054184436798096},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.5626156330108643},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.515882134437561},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4874146282672882},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48023349046707153},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4763617515563965},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44874945282936096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22095826268196106},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13474202156066895},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07273492217063904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647985577583313},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6357976794242859},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6054184436798096},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.5626156330108643},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.515882134437561},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4874146282672882},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48023349046707153},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4763617515563965},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44874945282936096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22095826268196106},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13474202156066895},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07273492217063904},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1137/19m1286694","is_oa":false,"landing_page_url":"https://doi.org/10.1137/19m1286694","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1710.03133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03133","pdf_url":"https://arxiv.org/pdf/1710.03133","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3160425651","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.03133.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:eprints.qut.edu.au:233363","is_oa":false,"landing_page_url":"http://purl.org/au-research/grants/arc/DP200102101","pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM-ASA Journal on Uncertainty Quantification","raw_type":"Contribution to Journal"},{"id":"doi:10.48550/arxiv.1710.03133","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.03133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.03133","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.03133","pdf_url":"https://arxiv.org/pdf/1710.03133","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G628376196","display_name":null,"funder_award_id":"MOE2016-T2-2-135","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G6380224187","display_name":"Advances in Sequential Monte Carlo Methods for Complex Bayesian Models","funder_award_id":"DP200102101","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3160425651.pdf","grobid_xml":"https://content.openalex.org/works/W3160425651.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1551302268","https://openalex.org/W1565839640","https://openalex.org/W1967579272","https://openalex.org/W1978588061","https://openalex.org/W1979328769","https://openalex.org/W1992913659","https://openalex.org/W2027946111","https://openalex.org/W2030609609","https://openalex.org/W2040276592","https://openalex.org/W2043419861","https://openalex.org/W2078327207","https://openalex.org/W2079054072","https://openalex.org/W2091860746","https://openalex.org/W2098613108","https://openalex.org/W2101958901","https://openalex.org/W2103660236","https://openalex.org/W2123677000","https://openalex.org/W2127281696","https://openalex.org/W2135267747","https://openalex.org/W2137307912","https://openalex.org/W2144603899","https://openalex.org/W2147357149","https://openalex.org/W2168134317","https://openalex.org/W2168282770","https://openalex.org/W2173126837","https://openalex.org/W2188956218","https://openalex.org/W2191971721","https://openalex.org/W2239079564","https://openalex.org/W2244322035","https://openalex.org/W2275270822","https://openalex.org/W2288171459","https://openalex.org/W2503839997","https://openalex.org/W2510033753","https://openalex.org/W2512146454","https://openalex.org/W2596384229","https://openalex.org/W2607444819","https://openalex.org/W2626930952","https://openalex.org/W2761369583","https://openalex.org/W2963387352","https://openalex.org/W3098649977","https://openalex.org/W3123235823"],"related_works":["https://openalex.org/W2015801533","https://openalex.org/W2912804187","https://openalex.org/W3037290308","https://openalex.org/W2161705718","https://openalex.org/W3093941901","https://openalex.org/W1569560753","https://openalex.org/W3212160501","https://openalex.org/W2996735454","https://openalex.org/W3204360318","https://openalex.org/W2070379207","https://openalex.org/W2320609392","https://openalex.org/W3213435748","https://openalex.org/W3111889480","https://openalex.org/W2039284810","https://openalex.org/W3033857448","https://openalex.org/W3123025874","https://openalex.org/W3033037483","https://openalex.org/W2803823137","https://openalex.org/W2997102038","https://openalex.org/W2899353188"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,12,16,34,48,62,91,97,213],"the":[3,13,60,73,76,92,98,127,141,184,214,227],"history":[4,106,173,185],"matching":[5,23,107,174,186],"method":[6,187],"is":[7,42,54,134,148,176],"to":[8,44,110,150,155,201,222],"locate":[9],"nonimplausible":[10,142,190,215],"regions":[11,90],"parameter":[14],"space":[15,93,99,153],"complex":[17],"deterministic":[18],"or":[19],"stochastic":[20],"models":[21],"by":[22],"model":[24],"outputs":[25,66],"with":[26,102],"data.":[27],"It":[28],"does":[29],"this":[30,152,161],"via":[31],"a":[32,45,165,189,208],"series":[33],"waves":[35,74],"where":[36],"at":[37],"each":[38],"wave":[39],"an":[40],"emulator":[41,70,77],"fitted":[43],"small":[46,145],"number":[47],"training":[49,83,158],"samples.":[50],"An":[51],"implausibility":[52],"measure":[53],"defined":[55],"which":[56,129,217],"takes":[57],"into":[58],"account":[59],"closeness":[61],"simulated":[63],"and":[64,94,119,133,146,198],"observed":[65],"as":[67,69],"well":[68],"uncertainty.":[71],"As":[72],"progress,":[75],"becomes":[78,144],"more":[79,86,103,210],"accurate":[80],"so":[81],"that":[82,175,183,192],"samples":[84],"are":[85,100,115,124],"concentrated":[87],"on":[88],"promising":[89],"poorer":[95],"parts":[96],"rejected":[101],"confidence.":[104],"While":[105],"has":[108],"proved":[109],"be":[111,194],"useful,":[112],"existing":[113],"implementations":[114],"not":[116],"fully":[117],"automated,":[118],"some":[120],"ad":[121],"hoc":[122],"choices":[123],"made":[125],"during":[126],"process,":[128],"involves":[130],"user":[131],"intervention":[132],"time":[135],"consuming.":[136],"This":[137],"occurs":[138],"especially":[139],"when":[140],"region":[143,191],"it":[147],"difficult":[149,200],"sample":[151,202],"uniformly":[154],"generate":[156],"new":[157],"points.":[159],"In":[160],"article":[162],"we":[163],"develop":[164],"sequential":[166],"Monte":[167],"Carlo":[168],"(SMC)":[169],"algorithm":[170],"for":[171],"implementing":[172],"semiautomated.":[177],"Our":[178,204],"novel":[179],"SMC":[180,205],"approach":[181,206],"reveals":[182],"yields":[188],"can":[193],"multimodal,":[195],"highly":[196],"irregular,":[197],"very":[199],"uniformly.":[203],"offers":[207],"much":[209],"reliable":[211],"sampling":[212],"space,":[216],"requires":[218],"additional":[219],"computation":[220],"compared":[221],"other":[223],"approaches":[224],"used":[225],"in":[226],"literature.":[228]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
