{"id":"https://openalex.org/W7124726378","doi":"https://doi.org/10.18637/jss.v115.i06","title":"<b>dbnR</b> : Gaussian Dynamic Bayesian Network Learning and Inference in <i>R</i>","display_name":"<b>dbnR</b> : Gaussian Dynamic Bayesian Network Learning and Inference in <i>R</i>","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7124726378","doi":"https://doi.org/10.18637/jss.v115.i06"},"language":"en","primary_location":{"id":"doi:10.18637/jss.v115.i06","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v115.i06","pdf_url":"https://www.jstatsoft.org/index.php/jss/article/download/v115i06/4772","source":{"id":"https://openalex.org/S167961193","display_name":"Journal of Statistical Software","issn_l":"1548-7660","issn":["1548-7660"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315759","host_organization_name":"Foundation for Open Access Statistics","host_organization_lineage":["https://openalex.org/P4310315759"],"host_organization_lineage_names":["Foundation for Open Access Statistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Statistical Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstatsoft.org/index.php/jss/article/download/v115i06/4772","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123337667","display_name":"David Quesada","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Quesada","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123342128","display_name":"Pedro Larra\u00f1aga","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Larra\u00f1aga","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063387980","display_name":"Concha Bielza","orcid":null},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Concha Bielza","raw_affiliation_strings":["Universidad Polit\u00e9cnica de Madrid"],"affiliations":[{"raw_affiliation_string":"Universidad Polit\u00e9cnica de Madrid","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123337667"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83066721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"115","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9718000292778015,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9718000292778015,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.006099999882280827,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.004900000058114529,"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/interpretability","display_name":"Interpretability","score":0.7763000130653381},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.7318000197410583},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.6473000049591064},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.58160001039505},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.545199990272522},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5205000042915344},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.492000013589859},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47450000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021000027656555},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7763000130653381},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.7318000197410583},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.6473000049591064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6338000297546387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599399983882904},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.58160001039505},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.545199990272522},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5205000042915344},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.492000013589859},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47189998626708984},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.2831999957561493}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18637/jss.v115.i06","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v115.i06","pdf_url":"https://www.jstatsoft.org/index.php/jss/article/download/v115i06/4772","source":{"id":"https://openalex.org/S167961193","display_name":"Journal of Statistical Software","issn_l":"1548-7660","issn":["1548-7660"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315759","host_organization_name":"Foundation for Open Access Statistics","host_organization_lineage":["https://openalex.org/P4310315759"],"host_organization_lineage_names":["Foundation for Open Access Statistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Statistical Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.18637/jss.v115.i06","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v115.i06","pdf_url":"https://www.jstatsoft.org/index.php/jss/article/download/v115i06/4772","source":{"id":"https://openalex.org/S167961193","display_name":"Journal of Statistical Software","issn_l":"1548-7660","issn":["1548-7660"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315759","host_organization_name":"Foundation for Open Access Statistics","host_organization_lineage":["https://openalex.org/P4310315759"],"host_organization_lineage_names":["Foundation for Open Access Statistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Statistical Software","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1650125035","display_name":null,"funder_award_id":"B-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G4209197128","display_name":null,"funder_award_id":"PID2022-139977NB-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G4598867321","display_name":null,"funder_award_id":"TED2021-131310B-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G8920660035","display_name":null,"funder_award_id":"PID2022","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124726378.pdf","grobid_xml":"https://content.openalex.org/works/W7124726378.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"Bayesian":[1,50,123],"networks":[2],"are":[3],"a":[4,14,32,54,95,115],"type":[5],"of":[6,13,16,34,48,71,101,105,110,121],"multivariate":[7],"time":[8],"series":[9],"forecasting":[10,135],"model":[11,74],"capable":[12],"level":[15],"interpretability":[17],"thanks":[18],"to":[19,53,113,127],"their":[20,37],"graphical":[21,103],"representation.":[22],"They":[23],"have":[24],"been":[25],"reported":[26],"extensively":[27],"in":[28,31],"the":[29,68,73,102,106],"literature":[30],"variety":[33],"areas,":[35],"but":[36],"application":[38],"has":[39],"usually":[40],"involved":[41],"an":[42,63],"ad":[43],"hoc":[44],"implementation":[45],"or":[46],"adaptation":[47],"existing":[49],"network":[51,124],"software":[52],"dynamic":[55,122],"case.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"present":[61],"dbnR,":[62],"R":[64],"package":[65,83],"that":[66,98,117],"encapsulates":[67],"whole":[69],"process":[70],"learning":[72,88],"and":[75,79,91,94,126],"parameters":[76],"from":[77],"data":[78],"performing":[80],"inference.":[81],"The":[82,108],"provides":[84],"three":[85],"different":[86],"structure":[87,104],"algorithms,":[89],"exact":[90],"approximate":[92],"inference":[93],"visualization":[96],"tool":[97,116],"allows":[99],"inspection":[100],"networks.":[107],"aim":[109],"dbnR":[111],"is":[112],"provide":[114],"enables":[118],"fast":[119],"deployment":[120],"models":[125],"make":[128],"them":[129],"readily":[130],"available":[131],"as":[132],"general":[133],"purpose":[134],"models.":[136]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2026-01-20T00:00:00"}
