{"id":"https://openalex.org/W2990210771","doi":"https://doi.org/10.48550/arxiv.1911.09006","title":"Additive Bayesian Network Modelling with the R Package abn","display_name":"Additive Bayesian Network Modelling with the R Package abn","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W2990210771","doi":"https://doi.org/10.48550/arxiv.1911.09006","mag":"2990210771"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1911.09006","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.09006","pdf_url":"https://arxiv.org/pdf/1911.09006","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,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.09006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021398084","display_name":"Gilles Kratzer","orcid":"https://orcid.org/0000-0002-5929-8935","observed_orcids":["https://orcid.org/0000-0002-5929-8935"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kratzer, Gilles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091701332","display_name":"Fraser Iain Lewis","orcid":"https://orcid.org/0000-0003-4580-2712","observed_orcids":["https://orcid.org/0000-0003-4580-2712"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lewis, Fraser Iain","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041121153","display_name":"Arianna Comin","orcid":"https://orcid.org/0000-0002-1765-1825","observed_orcids":["https://orcid.org/0000-0002-1765-1825"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Comin, Arianna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054948235","display_name":"Marta Pittavino","orcid":"https://orcid.org/0000-0002-1232-1034","observed_orcids":["https://orcid.org/0000-0002-1232-1034"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pittavino, Marta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5016890115","display_name":"Reinhard Furrer","orcid":"https://orcid.org/0000-0002-6319-2332","observed_orcids":["https://orcid.org/0000-0002-6319-2332"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Furrer, Reinhard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9976000189781189,"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":0.9976000189781189,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.00039999998989515007,"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":0.00019999999494757503,"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/bayesian-network-structure-learning","display_name":"Bayesian network structure learning","score":0.9010000228881836},{"id":"https://openalex.org/keywords/greedy-search","display_name":"greedy search","score":0.5260000228881836},{"id":"https://openalex.org/keywords/exact-search","display_name":"exact search","score":0.6150000095367432},{"id":"https://openalex.org/keywords/generalized-linear-models","display_name":"generalized linear models","score":0.9049999713897705},{"id":"https://openalex.org/keywords/information-criteria","display_name":"information criteria","score":0.5189999938011169},{"id":"https://openalex.org/keywords/prior-knowledge-integration","display_name":"prior knowledge incorporation","score":0.5860000252723694},{"id":"https://openalex.org/keywords/random-effects","display_name":"random effects","score":0.9480000138282776},{"id":"https://openalex.org/keywords/mixed-data","display_name":"mixed data","score":0.5260000228881836},{"id":"https://openalex.org/keywords/count-data","display_name":"count data","score":0.7639999985694885},{"id":"https://openalex.org/keywords/swine-respiratory-disease","display_name":"swine respiratory disease","score":0.8169999718666077},{"id":"https://openalex.org/keywords/epizootiology","display_name":"epizootiology","score":0.5669999718666077}],"concepts":[{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.7333164215087891},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5636629462242126},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5436037182807922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5119810700416565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2770441770553589},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11324730515480042}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:1911.09006","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.09006","pdf_url":"https://arxiv.org/pdf/1911.09006","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,"listed_in":[],"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:flore.unifi.it:2158/1322114","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1322114","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:iris.unive.it:10278/5052364","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10278/5052364","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.48550/arxiv.1911.09006","doi":"https://doi.org/10.48550/arxiv.1911.09006","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.09006","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,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.09006","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.09006","pdf_url":"https://arxiv.org/pdf/1911.09006","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,"listed_in":[],"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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W68436435","https://openalex.org/W1501429445","https://openalex.org/W1573997133","https://openalex.org/W1593793857","https://openalex.org/W1598638042","https://openalex.org/W1608018123","https://openalex.org/W1626295059","https://openalex.org/W1820854111","https://openalex.org/W1830407698","https://openalex.org/W1875061881","https://openalex.org/W1967235041","https://openalex.org/W1983852716","https://openalex.org/W1997338824","https://openalex.org/W2014581807","https://openalex.org/W2033371754","https://openalex.org/W2067695959","https://openalex.org/W2076753758","https://openalex.org/W2106008877","https://openalex.org/W2110575115","https://openalex.org/W2110889567","https://openalex.org/W2115984935","https://openalex.org/W2124821933","https://openalex.org/W2128088446","https://openalex.org/W2144898279","https://openalex.org/W2149772057","https://openalex.org/W2169152096","https://openalex.org/W2170112109","https://openalex.org/W2171620180","https://openalex.org/W2255224938","https://openalex.org/W2255906516","https://openalex.org/W2288595547","https://openalex.org/W2394978111","https://openalex.org/W2500368500","https://openalex.org/W2553734051","https://openalex.org/W2563227914","https://openalex.org/W2582743722","https://openalex.org/W2611222781","https://openalex.org/W2785953858","https://openalex.org/W2796953148","https://openalex.org/W2884696798","https://openalex.org/W2910917949","https://openalex.org/W2911546748","https://openalex.org/W2914694620","https://openalex.org/W2922298419","https://openalex.org/W2950896249","https://openalex.org/W2979006918","https://openalex.org/W2997771680"],"related_works":["https://openalex.org/W4318269814","https://openalex.org/W4402974409","https://openalex.org/W2916522699","https://openalex.org/W2941160007","https://openalex.org/W2885561070","https://openalex.org/W2207794429","https://openalex.org/W3089328075","https://openalex.org/W4205698865","https://openalex.org/W7045751069","https://openalex.org/W3038177351"],"abstract_inverted_index":{"The":[0,67],"R":[1],"package":[2],"abn":[3],"is":[4,33],"designed":[5],"to":[6,11,17,42,73],"fit":[7],"additive":[8],"Bayesian":[9,19,23,68],"models":[10],"observational":[12],"datasets.":[13],"It":[14,32,47],"contains":[15],"routines":[16],"score":[18],"networks":[20],"based":[21],"on":[22],"or":[24],"information":[25],"theoretic":[26],"formulations":[27],"of":[28,52,60,85],"generalized":[29],"linear":[30],"models.":[31],"equipped":[34],"with":[35],"exact":[36],"search":[37,40],"and":[38,55,58,88],"greedy":[39],"algorithms":[41],"select":[43],"the":[44,86,90],"best":[45],"network.":[46],"supports":[48,70],"a":[49,64,94],"possible":[50],"blend":[51],"continuous,":[53],"discrete":[54],"count":[56],"data":[57],"input":[59],"prior":[61],"knowledge":[62],"at":[63],"structural":[65],"level.":[66],"implementation":[69],"random":[71],"effects":[72],"control":[74],"for":[75],"one-layer":[76],"clustering.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"give":[82],"an":[83],"overview":[84],"methodology":[87],"illustrate":[89],"package's":[91],"functionalities":[92],"using":[93],"veterinary":[95],"dataset":[96],"about":[97],"respiratory":[98],"diseases":[99],"in":[100],"commercial":[101],"swine":[102],"production.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-12-05T00:00:00"}