{"id":"https://openalex.org/W2728112370","doi":"https://doi.org/10.1007/978-3-319-63004-5_29","title":"Robust Lasso Regression with Student-t Residuals","display_name":"Robust Lasso Regression with Student-t Residuals","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2728112370","doi":"https://doi.org/10.1007/978-3-319-63004-5_29","mag":"2728112370"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-63004-5_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63004-5_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046316602","display_name":"Daniel F. Schmidt","orcid":"https://orcid.org/0000-0002-1788-2375"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel F. Schmidt","raw_affiliation_strings":["Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, VIC, 3053, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, VIC, 3053, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023193568","display_name":"Enes Makalic","orcid":"https://orcid.org/0000-0003-3017-0871"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Enes Makalic","raw_affiliation_strings":["Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, VIC, 3053, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, VIC, 3053, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9690999984741211,"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/T11898","display_name":"Economics of Agriculture and Food Markets","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.8337690830230713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952094793319702},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5694212913513184},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5477740168571472},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5020248889923096},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.4835602939128876},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.46244722604751587},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.43111562728881836},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3944392204284668},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.3687552809715271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3400647044181824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3324742317199707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2331530749797821}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.8337690830230713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952094793319702},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5694212913513184},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5477740168571472},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5020248889923096},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.4835602939128876},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.46244722604751587},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.43111562728881836},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3944392204284668},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.3687552809715271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3400647044181824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3324742317199707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2331530749797821},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-63004-5_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63004-5_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W74727102","https://openalex.org/W1982652137","https://openalex.org/W1984568490","https://openalex.org/W1995190797","https://openalex.org/W1998966727","https://openalex.org/W2039989197","https://openalex.org/W2050029156","https://openalex.org/W2100617191","https://openalex.org/W2118522007","https://openalex.org/W2135046866","https://openalex.org/W2139663409","https://openalex.org/W2142635246","https://openalex.org/W2162978560","https://openalex.org/W2168175751","https://openalex.org/W4231139742"],"related_works":["https://openalex.org/W2066533688","https://openalex.org/W2018697919","https://openalex.org/W2375721435","https://openalex.org/W4210660526","https://openalex.org/W4249094282","https://openalex.org/W4313269996","https://openalex.org/W3125359591","https://openalex.org/W2373876760","https://openalex.org/W2807465363","https://openalex.org/W1989645679"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}