{"id":"https://openalex.org/W2066943711","doi":"https://doi.org/10.1145/2666202.2666208","title":"Declarative modelling for Bayesian inference by shallow embedding","display_name":"Declarative modelling for Bayesian inference by shallow embedding","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2066943711","doi":"https://doi.org/10.1145/2666202.2666208","mag":"2066943711"},"language":"en","primary_location":{"id":"doi:10.1145/2666202.2666208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2666202.2666208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.nottingham.ac.uk/32829/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014442955","display_name":"Henrik Nilsson","orcid":"https://orcid.org/0000-0001-5045-8691"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Henrik Nilsson","raw_affiliation_strings":["University of Nottingham, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053537999","display_name":"Thomas A. Nielsen","orcid":null},"institutions":[{"id":"https://openalex.org/I40695006","display_name":"Open Geospatial Consortium","ror":"https://ror.org/00fsdxs93","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I40695006"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas A. Nielsen","raw_affiliation_strings":["OpenBrain Ltd London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OpenBrain Ltd London, UK","institution_ids":["https://openalex.org/I40695006"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6916,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87788814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9925000071525574,"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":0.9925000071525574,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T13286","display_name":"Modeling and Simulation Systems","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7075789570808411},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6783100962638855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6652635931968689},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5887355804443359},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49863195419311523},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4753672480583191},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4511689841747284},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42453548312187195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3708793520927429},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3656172752380371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35750114917755127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34339356422424316}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7075789570808411},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6783100962638855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652635931968689},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5887355804443359},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49863195419311523},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4753672480583191},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4511689841747284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42453548312187195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3708793520927429},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3656172752380371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35750114917755127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34339356422424316}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2666202.2666208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2666202.2666208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.nottingham.ac.uk:32829","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/32829/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:nottingham-repository.worktribe.com:738418","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/738418","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:eprints.nottingham.ac.uk:32829","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/32829/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1517555081","https://openalex.org/W1839902311","https://openalex.org/W2049440551","https://openalex.org/W2064138295","https://openalex.org/W2098313837","https://openalex.org/W2099272284","https://openalex.org/W2174554963","https://openalex.org/W2400875509","https://openalex.org/W2561675875","https://openalex.org/W2807981689","https://openalex.org/W4246840991","https://openalex.org/W4388247078"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562"],"abstract_inverted_index":{"A":[0],"common":[1],"problem":[2],"across":[3],"science":[4],"and":[5,79,102,137],"engineering":[6],"is":[7,27,32,46,89],"that":[8,104,107],"aspects":[9],"of":[10,21,87],"models":[11,70,106],"have":[12,116],"to":[13,24,36,129],"be":[14,72,111],"estimated":[15],"from":[16],"observed":[17],"data.":[18],"An":[19],"instance":[20],"this":[22,123],"familiar":[23],"control":[25],"engineers":[26],"system":[28],"identification.":[29],"Bayesian":[30],"inference":[31],"a":[33,49,63,92,98],"principled":[34],"way":[35],"estimate":[37],"parameters:":[38],"exploiting":[39],"Bayes'":[40],"theorem,":[41],"an":[42,127,130],"equational":[43],"probabilistic":[44,67,77],"model":[45],"\"inverted\",":[47],"yielding":[48],"probability":[50],"distribution":[51],"for":[52,66,76,81,133],"the":[53,57],"unknown":[54],"parameters":[55],"given":[56],"observations.":[58],"This":[59,96],"paper":[60],"presents":[61],"Ebba,":[62],"declarative":[64],"language":[65,132],"modelling":[68,120,134],"where":[69],"can":[71,110],"used":[73],"both":[74],"\"forwards\"":[75],"computation":[78],"\"backwards\"":[80],"parameter":[82,138],"estimation.":[83,139],"The":[84],"novel":[85],"aspect":[86],"Ebba":[88],"its":[90],"implementation:":[91],"shallow,":[93],"arrows-based,":[94],"embedding.":[95],"provides":[97],"clear":[99],"semantical":[100],"account":[101],"ensures":[103],"only":[105],"support":[108],"estimation":[109],"expressed.":[112],"As":[113],"arrow-like":[114],"notions":[115],"proved":[117],"useful":[118],"in":[119],"dynamical":[121,135],"systems,":[122],"might":[124],"also":[125],"suggest":[126],"approach":[128],"integrated":[131],"systems":[136]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}