{"id":"https://openalex.org/W1938758642","doi":"https://doi.org/10.1007/s001800300144","title":"Bayesian Geoadditive Seemingly Unrelated Regression","display_name":"Bayesian Geoadditive Seemingly Unrelated Regression","publication_year":2003,"publication_date":"2003-07-01","ids":{"openalex":"https://openalex.org/W1938758642","doi":"https://doi.org/10.1007/s001800300144","mag":"1938758642"},"language":"en","primary_location":{"id":"doi:10.1007/s001800300144","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001800300144","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5282/ubm/epub.1678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085041409","display_name":"Stefan Lang","orcid":"https://orcid.org/0000-0003-0619-0098"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Lang","raw_affiliation_strings":["Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","Department of Statistics, University of Munich, M\u00fcnich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Department of Statistics, University of Munich, M\u00fcnich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073769392","display_name":"S. B. Adebayo","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Samson B. Adebayo","raw_affiliation_strings":["Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","Department of Statistics, University of Munich, M\u00fcnich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Department of Statistics, University of Munich, M\u00fcnich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088639152","display_name":"Ludwig Fahrmeir","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ludwig Fahrmeir","raw_affiliation_strings":["Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","Department of Statistics, University of Munich, M\u00fcnich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Munich, Ludwigstr. 33, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Department of Statistics, University of Munich, M\u00fcnich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005154986","display_name":"Winfried J. Steiner","orcid":"https://orcid.org/0009-0009-6756-4576"},"institutions":[{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Winfried J. Steiner","raw_affiliation_strings":["Department of Marketing, University of Regensburg, Universit\u00e4tsstr. 31, 93053, Regensburg, Germany","Department of Marketing, University of Regensburg, Regensburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Marketing, University of Regensburg, Universit\u00e4tsstr. 31, 93053, Regensburg, Germany","institution_ids":["https://openalex.org/I60668342"]},{"raw_affiliation_string":"Department of Marketing, University of Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I60668342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":1.4196,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.78240206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"2","first_page":"263","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9940999746322632,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.992900013923645,"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/covariate","display_name":"Covariate","score":0.7972318530082703},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6376100778579712},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5761922001838684},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.570820152759552},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5498929619789124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5189201831817627},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.4907110929489136},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.4806079566478729},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.47210946679115295},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4643194377422333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4481467604637146},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4430515766143799},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.440830796957016},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.40798234939575195},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.39872878789901733}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7972318530082703},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6376100778579712},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5761922001838684},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.570820152759552},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5498929619789124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5189201831817627},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.4907110929489136},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.4806079566478729},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.47210946679115295},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4643194377422333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4481467604637146},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4430515766143799},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.440830796957016},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.40798234939575195},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.39872878789901733},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s001800300144","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001800300144","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.3966","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.3966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.uni-muenchen.de/~lang/skript/sur_compstat_bw.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:spr:compst:v:18:y:2003:i:2:d:10.1007_s001800300144","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s001800300144","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:epub.ub.uni-muenchen.de:1678","is_oa":false,"landing_page_url":"https://epub.ub.uni-muenchen.de/1678/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401845","display_name":"Open access LMU (Ludwid Maxmilian's Universitat Munchen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8204097","host_organization_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","host_organization_lineage":["https://openalex.org/I8204097"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doc-type:workingPaper"},{"id":"pmh:oai:epub.uni-regensburg.de:5375","is_oa":false,"landing_page_url":"https://epub.uni-regensburg.de/5375/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401229","display_name":"University of Regensburg Publication Server (University of Regensburg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60668342","host_organization_name":"University of Regensburg","host_organization_lineage":["https://openalex.org/I60668342"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5282/ubm/epub.1678","is_oa":true,"landing_page_url":"https://doi.org/10.5282/ubm/epub.1678","pdf_url":null,"source":{"id":"https://openalex.org/S7407052039","display_name":"Universit\u00e4tsbibliothek der LMU","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"doi:10.5282/ubm/epub.1678","is_oa":true,"landing_page_url":"https://doi.org/10.5282/ubm/epub.1678","pdf_url":null,"source":{"id":"https://openalex.org/S7407052039","display_name":"Universit\u00e4tsbibliothek der LMU","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article-journal"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W137164155","https://openalex.org/W1528905581","https://openalex.org/W1597926580","https://openalex.org/W1607848239","https://openalex.org/W1815429339","https://openalex.org/W1857411792","https://openalex.org/W1965752946","https://openalex.org/W1981885118","https://openalex.org/W1990420052","https://openalex.org/W1990923471","https://openalex.org/W2004014822","https://openalex.org/W2008520227","https://openalex.org/W2010637890","https://openalex.org/W2023969114","https://openalex.org/W2031711446","https://openalex.org/W2050864176","https://openalex.org/W2051908617","https://openalex.org/W2065540158","https://openalex.org/W2084594423","https://openalex.org/W2094514178","https://openalex.org/W2111454936","https://openalex.org/W2119047368","https://openalex.org/W2135338737","https://openalex.org/W2157601393","https://openalex.org/W2160306985","https://openalex.org/W2162870748","https://openalex.org/W2166414779","https://openalex.org/W2167943787","https://openalex.org/W2721325503","https://openalex.org/W2792296590","https://openalex.org/W2797463641","https://openalex.org/W2797583072","https://openalex.org/W3014310718","https://openalex.org/W4249303080","https://openalex.org/W4292024691"],"related_works":["https://openalex.org/W4385964707","https://openalex.org/W2057743791","https://openalex.org/W2589006171","https://openalex.org/W3003994871","https://openalex.org/W2752704183","https://openalex.org/W2083659801","https://openalex.org/W1966053864","https://openalex.org/W2958887097","https://openalex.org/W2014773654","https://openalex.org/W2042808194"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}