{"id":"https://openalex.org/W4401419579","doi":"https://doi.org/10.1080/10618600.2024.2388604","title":"Scalable Estimation for Structured Additive Distributional Regression","display_name":"Scalable Estimation for Structured Additive Distributional Regression","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401419579","doi":"https://doi.org/10.1080/10618600.2024.2388604"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2024.2388604","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2388604","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388604?download=true","source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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 Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388604?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007717256","display_name":"Nikolaus Umlauf","orcid":"https://orcid.org/0000-0003-2160-9803"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Nikolaus Umlauf","raw_affiliation_strings":["Department of Statistics, Universit\u00e4t Innsbruck","Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck","institution_ids":["https://openalex.org/I190249584"]},{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108425341","display_name":"Johannes Seiler","orcid":null},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Johannes Seiler","raw_affiliation_strings":["Department of Statistics, Universit\u00e4t Innsbruck","Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck","institution_ids":["https://openalex.org/I190249584"]},{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013234581","display_name":"Mattias Wetscher","orcid":"https://orcid.org/0000-0002-9982-3001"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mattias Wetscher","raw_affiliation_strings":["Department of Statistics, Universit\u00e4t Innsbruck","Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck","institution_ids":["https://openalex.org/I190249584"]},{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033208160","display_name":"Thorsten Simon","orcid":"https://orcid.org/0000-0002-3778-7738"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thorsten Simon","raw_affiliation_strings":["Department of Statistics, Universit\u00e4t Innsbruck","Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck","institution_ids":["https://openalex.org/I190249584"]},{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085041409","display_name":"Stefan Lang","orcid":"https://orcid.org/0000-0003-0619-0098"},"institutions":[{"id":"https://openalex.org/I190249584","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659","country_code":"AT","type":"education","lineage":["https://openalex.org/I190249584"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Lang","raw_affiliation_strings":["Department of Statistics, Universit\u00e4t Innsbruck","Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck","institution_ids":["https://openalex.org/I190249584"]},{"raw_affiliation_string":"Department of Statistics, Universit\u00e4t Innsbruck, Innsbruck, Austria","institution_ids":["https://openalex.org/I190249584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009563869","display_name":"Nadja Klein","orcid":"https://orcid.org/0000-0002-5072-5347"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I4210143490","display_name":"Computing Center","ror":"https://ror.org/0557kgc34","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210143490","https://openalex.org/I4210148470"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"Nadja Klein","raw_affiliation_strings":["Scientific Computing Center, Karlsruhe Institute of Technology","Scientific Computing Center, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5072-5347","affiliations":[{"raw_affiliation_string":"Scientific Computing Center, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I4210143490","https://openalex.org/I102335020"]},{"raw_affiliation_string":"Scientific Computing Center, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007717256"],"corresponding_institution_ids":["https://openalex.org/I190249584"],"apc_list":null,"apc_paid":null,"fwci":3.2388,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92331938,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"601","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9979000091552734,"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":0.9979000091552734,"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/T11236","display_name":"Control Systems and Identification","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.5691778659820557},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5325455069541931},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5131250023841858},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.47068578004837036},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.45613864064216614},{"id":"https://openalex.org/keywords/small-area-estimation","display_name":"Small area estimation","score":0.4368101954460144},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43010085821151733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3645729422569275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3544812798500061},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32182246446609497},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.2955995500087738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691778659820557},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5325455069541931},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5131250023841858},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.47068578004837036},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45613864064216614},{"id":"https://openalex.org/C129963666","wikidata":"https://www.wikidata.org/wiki/Q17105857","display_name":"Small area estimation","level":3,"score":0.4368101954460144},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43010085821151733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3645729422569275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3544812798500061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32182246446609497},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.2955995500087738},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10618600.2024.2388604","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2388604","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388604?download=true","source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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 Computational and Graphical Statistics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/10618600.2024.2388604","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2388604","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10618600.2024.2388604?download=true","source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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 Computational and Graphical Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5040929572","display_name":null,"funder_award_id":"KL 3037/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7096416468","display_name":null,"funder_award_id":"31836","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G8469172402","display_name":null,"funder_award_id":"33941","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"},{"id":"https://openalex.org/F4320327491","display_name":"Universit\u00e4t Innsbruck","ror":"https://ror.org/054pv6659"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401419579.pdf","grobid_xml":"https://content.openalex.org/works/W4401419579.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W75231382","https://openalex.org/W214193251","https://openalex.org/W1492534149","https://openalex.org/W1583837637","https://openalex.org/W1955857676","https://openalex.org/W1958976700","https://openalex.org/W1970789124","https://openalex.org/W1972790519","https://openalex.org/W1990420052","https://openalex.org/W1992549534","https://openalex.org/W1994616650","https://openalex.org/W2008534879","https://openalex.org/W2012687757","https://openalex.org/W2025720061","https://openalex.org/W2033279096","https://openalex.org/W2035844373","https://openalex.org/W2063774389","https://openalex.org/W2070381285","https://openalex.org/W2073300221","https://openalex.org/W2082822241","https://openalex.org/W2108694197","https://openalex.org/W2132755158","https://openalex.org/W2140308441","https://openalex.org/W2140514146","https://openalex.org/W2143339960","https://openalex.org/W2154065358","https://openalex.org/W2161500689","https://openalex.org/W2468874071","https://openalex.org/W2559655401","https://openalex.org/W2593046461","https://openalex.org/W2612340775","https://openalex.org/W2792167049","https://openalex.org/W2889845402","https://openalex.org/W2918221993","https://openalex.org/W2944123510","https://openalex.org/W2979812796","https://openalex.org/W3025949386","https://openalex.org/W3085164696","https://openalex.org/W3101637254","https://openalex.org/W3106889297","https://openalex.org/W3112717819","https://openalex.org/W3120850352","https://openalex.org/W3132957096","https://openalex.org/W4200425331","https://openalex.org/W4220830767","https://openalex.org/W4220908181","https://openalex.org/W4249303080","https://openalex.org/W4256464868","https://openalex.org/W4284697423","https://openalex.org/W4292022450","https://openalex.org/W4367182867","https://openalex.org/W6640256981"],"related_works":["https://openalex.org/W1495401693","https://openalex.org/W3002907611","https://openalex.org/W2790073321","https://openalex.org/W1514485070","https://openalex.org/W3176951878","https://openalex.org/W3014501742","https://openalex.org/W4301149955","https://openalex.org/W2116243905","https://openalex.org/W2785342023","https://openalex.org/W604670222"],"abstract_inverted_index":{"Obtaining":[0],"probabilistic":[1],"models":[2,15,30],"is":[3,57,91,114],"of":[4,12,27,62,73,83,87,126],"high":[5],"relevance":[6],"in":[7],"many":[8],"recent":[9],"applications.However,":[10],"estimation":[11,41],"such":[13,105],"distributional":[14,103],"with":[16,70,132],"very":[17],"large":[18],"datasets":[19],"remains":[20],"a":[21,52,76],"difficult":[22],"task.In":[23],"particular,":[24],"the":[25,60],"use":[26],"rather":[28],"complex":[29],"can":[31,67],"easily":[32],"lead":[33],"to":[34,97],"memory-related":[35],"efficiency":[36],"problems":[37],"and":[38,50,66,85,121,137],"thereby":[39],"make":[40],"infeasible":[42],"even":[43],"on":[44,59,75],"high-performance":[45],"computers.We":[46],"address":[47],"these":[48],"challenges":[49],"propose":[51],"novel":[53],"backfitting":[54],"algorithm,":[55],"which":[56],"based":[58],"ideas":[61],"stochastic":[63],"gradient":[64,107],"descent":[65],"deal":[68],"virtually":[69],"any":[71],"amount":[72],"data":[74],"conventional":[77],"laptop.The":[78],"algorithm":[79],"performs":[80],"automatic":[81],"selection":[82],"variables":[84],"determination":[86],"smoothing":[88],"parameters.Its":[89],"performance":[90],"superior":[92],"or":[93],"at":[94],"least":[95],"equivalent":[96],"other":[98],"implementations":[99],"for":[100],"structured":[101],"additive":[102],"regression,":[104],"as,":[106],"boosting,":[108],"while":[109],"maintaining":[110],"lower":[111],"computation":[112],"time.Performance":[113],"evaluated":[115],"using":[116],"an":[117,122],"extensive":[118],"simulation":[119],"study":[120],"exceptionally":[123],"challenging":[124],"example":[125],"lightning":[127],"count":[128],"prediction":[129],"across":[130],"Austria":[131],"over":[133],"9":[134],"million":[135],"observations":[136],"80":[138],"covariates.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}