{"id":"https://openalex.org/W1958913642","doi":"https://doi.org/10.1137/140989613","title":"Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model","display_name":"Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W1958913642","doi":"https://doi.org/10.1137/140989613","mag":"1958913642"},"language":"en","primary_location":{"id":"doi:10.1137/140989613","is_oa":true,"landing_page_url":"https://doi.org/10.1137/140989613","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/140989613","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://epubs.siam.org/doi/pdf/10.1137/140989613","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004147906","display_name":"Joakim Beck","orcid":"https://orcid.org/0000-0001-8042-998X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Joakim Beck","raw_affiliation_strings":["Department of Statistical Science, University College London, London WC1E 7HB, UK"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, London WC1E 7HB, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002268039","display_name":"Serge Guillas","orcid":"https://orcid.org/0000-0002-3910-3408"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Serge Guillas","raw_affiliation_strings":["Department of Statistical Science, University College London, London WC1E 7HB, UK"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, London WC1E 7HB, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004147906"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.4444,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7765647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":"1","first_page":"739","last_page":"766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9994999766349792,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9994999766349792,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.9296190738677979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732419490814209},{"id":"https://openalex.org/keywords/computer-experiment","display_name":"Computer experiment","score":0.6787649989128113},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6701762676239014},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5250838994979858},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5065783262252808},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49469420313835144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4521968960762024},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.44569140672683716},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.40105903148651123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22484400868415833}],"concepts":[{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.9296190738677979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732419490814209},{"id":"https://openalex.org/C87466663","wikidata":"https://www.wikidata.org/wiki/Q5157537","display_name":"Computer experiment","level":2,"score":0.6787649989128113},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6701762676239014},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5250838994979858},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5065783262252808},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49469420313835144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4521968960762024},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.44569140672683716},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.40105903148651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22484400868415833},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1137/140989613","is_oa":true,"landing_page_url":"https://doi.org/10.1137/140989613","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/140989613","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:1410.0215","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.0215","pdf_url":"https://arxiv.org/pdf/1410.0215","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:1958913642","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1410.0215.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.ucl.ac.uk.OAI2:1450427","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1450427/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"         ","raw_type":"Report"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1502164","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1502164/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"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 , 4  (1)   pp. 739-766.   (2016)      ","raw_type":"Article"},{"id":"doi:10.48550/arxiv.1410.0215","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1410.0215","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.1137/140989613","is_oa":true,"landing_page_url":"https://doi.org/10.1137/140989613","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/140989613","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3579530558","display_name":"Probability, Uncertainty and Risk in the Natural Environment","funder_award_id":"NE/J017434/1","funder_id":"https://openalex.org/F4320334631","funder_display_name":"Natural Environment Research Council"},{"id":"https://openalex.org/G4986265078","display_name":null,"funder_award_id":"NE/J017434/1","funder_id":"https://openalex.org/F4320334631","funder_display_name":"Natural Environment Research Council"},{"id":"https://openalex.org/G8678996877","display_name":null,"funder_award_id":"EP/K000144/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8879879873","display_name":null,"funder_award_id":"NE/J017434/1","funder_id":"https://openalex.org/F4320320022","funder_display_name":"Sight Research UK"}],"funders":[{"id":"https://openalex.org/F4320320022","display_name":"Sight Research UK","ror":"https://ror.org/03z2py885"},{"id":"https://openalex.org/F4320320286","display_name":"University College London","ror":"https://ror.org/02jx3x895"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334631","display_name":"Natural Environment Research Council","ror":"https://ror.org/02b5d8509"},{"id":"https://openalex.org/F4320334632","display_name":"Science and Technology Facilities Council","ror":"https://ror.org/057g20z61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1958913642.pdf","grobid_xml":"https://content.openalex.org/works/W1958913642.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1584066809","https://openalex.org/W1591699755","https://openalex.org/W1680189815","https://openalex.org/W1746819321","https://openalex.org/W1840389249","https://openalex.org/W1859632260","https://openalex.org/W1985881593","https://openalex.org/W1987516878","https://openalex.org/W1990062241","https://openalex.org/W2004207982","https://openalex.org/W2018044188","https://openalex.org/W2019143734","https://openalex.org/W2019970588","https://openalex.org/W2057618459","https://openalex.org/W2060682310","https://openalex.org/W2068904046","https://openalex.org/W2069626069","https://openalex.org/W2076580309","https://openalex.org/W2091553539","https://openalex.org/W2092262344","https://openalex.org/W2096980175","https://openalex.org/W2098642746","https://openalex.org/W2099111195","https://openalex.org/W2101267844","https://openalex.org/W2111857777","https://openalex.org/W2112147653","https://openalex.org/W2124003155","https://openalex.org/W2131824593","https://openalex.org/W2135348862","https://openalex.org/W2143284311","https://openalex.org/W2151238122","https://openalex.org/W2157291679","https://openalex.org/W2168464387","https://openalex.org/W2169568641","https://openalex.org/W2186850983","https://openalex.org/W2204394100","https://openalex.org/W2466363234","https://openalex.org/W2592279581"],"related_works":["https://openalex.org/W1982082014","https://openalex.org/W2050285901","https://openalex.org/W2346364541","https://openalex.org/W2001450789","https://openalex.org/W3150956559","https://openalex.org/W2022899575","https://openalex.org/W2139362116","https://openalex.org/W811515989","https://openalex.org/W2885677850","https://openalex.org/W2160909239","https://openalex.org/W2106270437","https://openalex.org/W2116564817","https://openalex.org/W1983213962","https://openalex.org/W2910290477","https://openalex.org/W102499867","https://openalex.org/W2065470777","https://openalex.org/W1994178054","https://openalex.org/W2926739916","https://openalex.org/W2505389949","https://openalex.org/W2559346790"],"abstract_inverted_index":{"Computer":[0],"simulators":[1],"can":[2],"be":[3],"computationally":[4],"intensive":[5],"to":[6,36,41,84,91,112,130],"run":[7,85],"over":[8,99],"a":[9,66,122],"large":[10],"number":[11],"of":[12,32,107,128],"input":[13,59,80,101],"values,":[14],"as":[15],"required":[16],"for":[17,27,73],"optimization":[18],"and":[19,30,120],"various":[20,58],"uncertainty":[21],"quantification":[22],"tasks.":[23],"The":[24,103],"standard":[25],"paradigm":[26],"the":[28,79,86,93,100,108],"design":[29,68],"analysis":[31],"computer":[33,43,74,87],"experiments":[34],"is":[35,115],"employ":[37],"Gaussian":[38,45],"random":[39],"fields":[40],"model":[42],"simulators.":[44],"process":[46],"models":[47],"are":[48],"trained":[49],"on":[50],"input-output":[51],"data":[52],"obtained":[53],"from":[54],"simulation":[55],"runs":[56],"at":[57,82],"values.":[60],"Following":[61],"this":[62],"approach,":[63],"we":[64],"propose":[65],"sequential":[67],"algorithm":[69,110],"MICE":[70,109],"(mutual":[71,97],"information":[72,95],"experiments)":[75],"that":[76,133],"adaptively":[77],"selects":[78],"values":[81],"which":[83],"simulator":[88,124],"in":[89,132],"order":[90],"maximize":[92],"expected":[94],"gain":[96],"information)":[98],"space.":[102],"superior":[104],"computational":[105],"efficiency":[106],"compared":[111],"other":[113],"algorithms":[114],"demonstrated":[116],"by":[117,121],"test":[118],"functions":[119],"tsunami":[123],"with":[125],"overall":[126],"gains":[127],"up":[129],"20%":[131],"case.":[134]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}