{"id":"https://openalex.org/W2327770667","doi":"https://doi.org/10.18637/jss.v070.i04","title":"bartMachine: Machine Learning with Bayesian Additive Regression Trees","display_name":"bartMachine: Machine Learning with Bayesian Additive Regression Trees","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2327770667","doi":"https://doi.org/10.18637/jss.v070.i04","mag":"2327770667"},"language":"en","primary_location":{"id":"doi:10.18637/jss.v070.i04","doi":"https://doi.org/10.18637/jss.v070.i04","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v070.i04","pdf_url":null,"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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.18637/jss.v070.i04","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068936812","display_name":"Adam D. Kapelner","orcid":"https://orcid.org/0000-0001-5985-6792","observed_orcids":["https://orcid.org/0000-0001-5985-6792"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam Kapelner","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052253931","display_name":"Justin Bleich","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Justin Bleich","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":22.5157,"has_fulltext":false,"cited_by_count":278,"citation_normalized_percentile":{"value":0.99543142,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"70","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.40450000762939453,"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/T10136","display_name":"Statistical Methods and Inference","score":0.40450000762939453,"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/T13398","display_name":"Data Analysis with R","score":0.29980000853538513,"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":0.12380000203847885,"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/bayesian-additive-regression-trees","display_name":"Bayesian additive regression trees","score":0.9959999918937683},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.8339999914169312},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9620000123977661},{"id":"https://openalex.org/keywords/interaction-detection","display_name":"interaction detection","score":0.996999979019165},{"id":"https://openalex.org/keywords/model-diagnostics","display_name":"model diagnostics","score":0.8360000252723694},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.9620000123977661},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.6179999709129333},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.9290000200271606},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"nonparametric regression","score":0.7760000228881836}],"concepts":[{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.7506557703018188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869747638702393},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6215229630470276},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6156695485115051},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5307552814483643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5093932747840881},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48990291357040405},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4525418281555176},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45118433237075806},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.444360613822937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.437466025352478},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4263358414173126},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42466920614242554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3908610939979553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2892179787158966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19804871082305908},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18637/jss.v070.i04","doi":"https://doi.org/10.18637/jss.v070.i04","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v070.i04","pdf_url":null,"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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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"},{"id":"pmh:oai:doaj.org/article:adbb73742ada42438214f323a9da019b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/adbb73742ada42438214f323a9da019b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Statistical Software, Vol 70, Iss 1, Pp 1-40 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.18637/jss.v070.i04","doi":"https://doi.org/10.18637/jss.v070.i04","is_oa":true,"landing_page_url":"https://doi.org/10.18637/jss.v070.i04","pdf_url":null,"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,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W133576162","https://openalex.org/W273955616","https://openalex.org/W424878348","https://openalex.org/W1480532519","https://openalex.org/W1678356000","https://openalex.org/W1986241547","https://openalex.org/W2020999234","https://openalex.org/W2045656233","https://openalex.org/W2065709315","https://openalex.org/W2069026846","https://openalex.org/W2070493638","https://openalex.org/W2094352577","https://openalex.org/W2101234997","https://openalex.org/W2102201073","https://openalex.org/W2108306139","https://openalex.org/W2126275630","https://openalex.org/W2138309709","https://openalex.org/W2138544379","https://openalex.org/W2160455305","https://openalex.org/W2582743722","https://openalex.org/W2952659882","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W1977098485","https://openalex.org/W2085630472","https://openalex.org/W4311995277","https://openalex.org/W2800090224"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"new":[3,17],"package":[4,14],"in":[5],"R":[6,53],"implementing":[7],"Bayesian":[8],"additive":[9],"regression":[10],"trees":[11,42],"(BART).":[12],"The":[13],"introduces":[15],"many":[16],"features":[18],"for":[19,43],"data":[20,36],"analysis":[21],"using":[22],"BART":[23],"such":[24],"as":[25],"variable":[26],"selection,":[27],"interaction":[28],"detection,":[29],"model":[30],"diagnostic":[31],"plots,":[32],"incorporation":[33],"of":[34,58],"missing":[35],"and":[37,56,64],"the":[38,51],"ability":[39],"to":[40],"save":[41],"future":[44],"prediction.":[45],"It":[46],"is":[47],"significantly":[48],"faster":[49],"than":[50],"current":[52],"implementation,":[54],"parallelized,":[55],"capable":[57],"handling":[59],"both":[60],"large":[61],"sample":[62],"sizes":[63],"high-dimensional":[65],"data.":[66]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":36},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}