{"id":"https://openalex.org/W3097691419","doi":"https://doi.org/10.1007/s11222-021-10004-y","title":"Ensemble sampler for infinite-dimensional inverse problems","display_name":"Ensemble sampler for infinite-dimensional inverse problems","publication_year":2021,"publication_date":"2021-03-15","ids":{"openalex":"https://openalex.org/W3097691419","doi":"https://doi.org/10.1007/s11222-021-10004-y","mag":"3097691419"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-021-10004-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-021-10004-y","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","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/2010.15181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075567681","display_name":"Jeremie Coullon","orcid":"https://orcid.org/0000-0002-7032-3425"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jeremie Coullon","raw_affiliation_strings":["Lancaster University, LA1 4YF, United Kingdom, United Kingdom","Lancaster University, United Kingdom, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7032-3425","affiliations":[{"raw_affiliation_string":"Lancaster University, LA1 4YF, United Kingdom, United Kingdom","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Lancaster University, United Kingdom, United Kingdom","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020598676","display_name":"Robert J. Webber","orcid":"https://orcid.org/0000-0001-8286-6315"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]},{"id":"https://openalex.org/I4210102264","display_name":"Shandong University of Political Science and Law","ror":"https://ror.org/01b2j5886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102264"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["CH","CN","FR","US"],"is_corresponding":false,"raw_author_name":"Robert J. Webber","raw_affiliation_strings":["New York University, 10012, New York, United States","New York University<sup>**</sup>"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, 10012, New York, United States","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University<sup>**</sup>","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I15196421","https://openalex.org/I4210102264"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075567681"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0201113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"3","first_page":null,"last_page":null},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9969000220298767,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9912999868392944,"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/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8833049535751343},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.692916214466095},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5406107902526855},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5285115242004395},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5107076168060303},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4864354133605957},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4811769425868988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4700561761856079},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4618237614631653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44764846563339233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4134683609008789},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.38863661885261536},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3427032232284546},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3106580376625061},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18856915831565857},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10958585143089294},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08806777000427246}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8833049535751343},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.692916214466095},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5406107902526855},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5285115242004395},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5107076168060303},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4864354133605957},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4811769425868988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4700561761856079},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4618237614631653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44764846563339233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4134683609008789},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.38863661885261536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3427032232284546},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3106580376625061},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18856915831565857},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10958585143089294},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08806777000427246},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11222-021-10004-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-021-10004-y","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.15181","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.15181","pdf_url":"https://arxiv.org/pdf/2010.15181","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":"pmh:oai:eprints.lancs.ac.uk:153280","is_oa":true,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/153280/1/functional_ensemble_sampler_Coullon_Webber_2021.pdf","pdf_url":"https://eprints.lancs.ac.uk/id/eprint/153280/1/functional_ensemble_sampler_Coullon_Webber_2021.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"Journal Article"},{"id":"mag:3097691419","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2010.15181.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":"doi:10.48550/arxiv.2010.15181","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.15181","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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.15181","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.15181","pdf_url":"https://arxiv.org/pdf/2010.15181","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":[],"awards":[{"id":"https://openalex.org/G2958156528","display_name":"RTG: Research Training Group in Mathematical Modeling and Simulation","funder_award_id":"1646339","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4007862101","display_name":"Scalable and Exact Data Science for Security and Location-based Data","funder_award_id":"EP/S00159X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8897754305","display_name":null,"funder_award_id":"EP/V022636/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319918","display_name":"York University","ror":"https://ror.org/05fq50484"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1579788182","https://openalex.org/W1970611947","https://openalex.org/W1973396249","https://openalex.org/W1996672492","https://openalex.org/W2047978125","https://openalex.org/W2056760934","https://openalex.org/W2063397409","https://openalex.org/W2097304658","https://openalex.org/W2101687185","https://openalex.org/W2129728672","https://openalex.org/W2142737094","https://openalex.org/W2149498546","https://openalex.org/W2152657433","https://openalex.org/W2168255721","https://openalex.org/W2221416073","https://openalex.org/W2418704535","https://openalex.org/W2462335633","https://openalex.org/W2603909564","https://openalex.org/W2764984163","https://openalex.org/W2962743168","https://openalex.org/W2963462656","https://openalex.org/W2964057283","https://openalex.org/W2998787042","https://openalex.org/W3099212336","https://openalex.org/W3100328536","https://openalex.org/W3102014803","https://openalex.org/W3105240409"],"related_works":["https://openalex.org/W2952280410","https://openalex.org/W2770629397","https://openalex.org/W2952238604","https://openalex.org/W2103582908","https://openalex.org/W2798234501","https://openalex.org/W2964030972","https://openalex.org/W164214761","https://openalex.org/W3205033283","https://openalex.org/W2962732346","https://openalex.org/W2765084350","https://openalex.org/W2124086369","https://openalex.org/W2962846798","https://openalex.org/W2142737094","https://openalex.org/W3128146547","https://openalex.org/W2966795321","https://openalex.org/W2138565515","https://openalex.org/W2224884787","https://openalex.org/W2922634118","https://openalex.org/W2412451743","https://openalex.org/W2728206165"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}