{"id":"https://openalex.org/W2808845965","doi":"https://doi.org/10.1007/s11222-018-9819-1","title":"A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery","display_name":"A consistent and numerically efficient variable selection method for sparse Poisson regression with applications to learning and signal recovery","publication_year":2018,"publication_date":"2018-06-22","ids":{"openalex":"https://openalex.org/W2808845965","doi":"https://doi.org/10.1007/s11222-018-9819-1","mag":"2808845965"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-018-9819-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-018-9819-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11567/936129","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066986801","display_name":"Sabrina Guastavino","orcid":"https://orcid.org/0000-0001-7047-1148"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sabrina Guastavino","raw_affiliation_strings":["Department of Mathematics, Universita\u2019 degli Studi di Genova, Genova, Italy","Department of Mathematics, Universita' degli Studi di Genova, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Universita\u2019 degli Studi di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Department of Mathematics, Universita' degli Studi di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019072618","display_name":"Federico Benvenuto","orcid":"https://orcid.org/0000-0002-4776-0256"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Benvenuto","raw_affiliation_strings":["Department of Mathematics, Universita\u2019 degli Studi di Genova, Genova, Italy","Department of Mathematics, Universita' degli Studi di Genova, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Universita\u2019 degli Studi di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Department of Mathematics, Universita' degli Studi di Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066986801"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":0.831,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69964914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"3","first_page":"501","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.9991999864578247,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/feature-selection","display_name":"Feature selection","score":0.6686263084411621},{"id":"https://openalex.org/keywords/poisson-regression","display_name":"Poisson regression","score":0.640186071395874},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5339340567588806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.523862361907959},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5194405913352966},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5068708062171936},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.46140068769454956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45525890588760376},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44844773411750793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4442657232284546},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43266984820365906},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42519426345825195},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4200214743614197},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4191969931125641},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4073948860168457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3776928782463074},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36918359994888306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35621899366378784},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11179965734481812}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6686263084411621},{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.640186071395874},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5339340567588806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.523862361907959},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5194405913352966},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5068708062171936},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.46140068769454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45525890588760376},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44844773411750793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4442657232284546},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43266984820365906},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42519426345825195},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4200214743614197},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4191969931125641},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4073948860168457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3776928782463074},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36918359994888306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35621899366378784},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11179965734481812},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-018-9819-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-018-9819-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unige.it:11567/936129","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/936129","pdf_url":"http://hdl.handle.net/11567/936129","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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/article"},{"id":"pmh:oai:zenodo.org:3504423","is_oa":true,"landing_page_url":"https://zenodo.org/record/3504423","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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/article"}],"best_oa_location":{"id":"pmh:oai:iris.unige.it:11567/936129","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/936129","pdf_url":"http://hdl.handle.net/11567/936129","source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5815969119","display_name":null,"funder_award_id":"640216","funder_id":"https://openalex.org/F4320337662","funder_display_name":"H2020 Excellent Science"}],"funders":[{"id":"https://openalex.org/F4320337662","display_name":"H2020 Excellent Science","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2808845965.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1506859583","https://openalex.org/W1528905581","https://openalex.org/W1601976844","https://openalex.org/W1663272054","https://openalex.org/W1897014605","https://openalex.org/W1916786071","https://openalex.org/W1989376243","https://openalex.org/W2011818696","https://openalex.org/W2020925091","https://openalex.org/W2021262032","https://openalex.org/W2046186019","https://openalex.org/W2055221186","https://openalex.org/W2056636001","https://openalex.org/W2057139325","https://openalex.org/W2063978378","https://openalex.org/W2068005688","https://openalex.org/W2075490785","https://openalex.org/W2097360283","https://openalex.org/W2100556411","https://openalex.org/W2103336901","https://openalex.org/W2107861471","https://openalex.org/W2126619362","https://openalex.org/W2135046866","https://openalex.org/W2148791483","https://openalex.org/W2150940164","https://openalex.org/W2151405047","https://openalex.org/W2329094530","https://openalex.org/W2461051203","https://openalex.org/W3098745759","https://openalex.org/W3104587455","https://openalex.org/W3121742466","https://openalex.org/W4230339119","https://openalex.org/W4294541781","https://openalex.org/W4300858224","https://openalex.org/W4301861531","https://openalex.org/W4375802365","https://openalex.org/W6600612271","https://openalex.org/W6607311024"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W2503331259","https://openalex.org/W1590941618","https://openalex.org/W3096804274","https://openalex.org/W2810025138","https://openalex.org/W1997711767","https://openalex.org/W4386543887","https://openalex.org/W2509788866","https://openalex.org/W4387885766","https://openalex.org/W3134844154"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}