{"id":"https://openalex.org/W2519060277","doi":"https://doi.org/10.1007/978-3-319-46487-9_35","title":"Abundant Inverse Regression Using Sufficient Reduction and Its Applications","display_name":"Abundant Inverse Regression Using Sufficient Reduction and Its Applications","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2519060277","doi":"https://doi.org/10.1007/978-3-319-46487-9_35","mag":"2519060277","pmid":"https://pubmed.ncbi.nlm.nih.gov/27796010"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46487-9_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46487-9_35","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":"article","indexed_in":["crossref","pubmed"],"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/A5084814930","display_name":"Hyunwoo J. Kim","orcid":"https://orcid.org/0000-0002-2181-9264"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hyunwoo J. Kim","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012761535","display_name":"Brandon M. Smith","orcid":"https://orcid.org/0000-0002-1436-0133"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon M. Smith","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011613330","display_name":"Nagesh Adluru","orcid":"https://orcid.org/0000-0001-8330-1770"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nagesh Adluru","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080615708","display_name":"Charles R. Dyer","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles R. Dyer","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084579251","display_name":"Sterling C. Johnson","orcid":"https://orcid.org/0000-0002-8501-545X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sterling C. Johnson","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779003","display_name":"Vikas Singh","orcid":"https://orcid.org/0000-0002-8355-6519"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikas Singh","raw_affiliation_strings":["University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","University of Wisconsin-Madison, Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison http://pages.cs.wisc.edu/~hwkim/projects/air","institution_ids":[]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084814930"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3258,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89147627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9907","issue":null,"first_page":"570","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9961000084877014,"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":0.9961000084877014,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9959999918937683,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245556116104126},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5981805920600891},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5880165696144104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5530571937561035},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5453171730041504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5411350727081299},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5053144097328186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47247904539108276},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4446888864040375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43914783000946045},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.43565696477890015},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4335968494415283},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.42437493801116943},{"id":"https://openalex.org/keywords/sliced-inverse-regression","display_name":"Sliced inverse regression","score":0.4142630398273468},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25923606753349304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22932308912277222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245556116104126},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5981805920600891},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5880165696144104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5530571937561035},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5453171730041504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5411350727081299},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5053144097328186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47247904539108276},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4446888864040375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43914783000946045},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.43565696477890015},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4335968494415283},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.42437493801116943},{"id":"https://openalex.org/C41341539","wikidata":"https://www.wikidata.org/wiki/Q7540242","display_name":"Sliced inverse regression","level":3,"score":0.4142630398273468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25923606753349304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22932308912277222},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-46487-9_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46487-9_35","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"},{"id":"pmid:27796010","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27796010","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision","raw_type":null},{"id":"pmh:oai:europepmc.org:4031934","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5083122","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W100695655","https://openalex.org/W1549083695","https://openalex.org/W1874010440","https://openalex.org/W1973193168","https://openalex.org/W1990937109","https://openalex.org/W1999663487","https://openalex.org/W2022215192","https://openalex.org/W2035486122","https://openalex.org/W2073351001","https://openalex.org/W2078046525","https://openalex.org/W2097642017","https://openalex.org/W2099210013","https://openalex.org/W2116649573","https://openalex.org/W2120926292","https://openalex.org/W2163490846","https://openalex.org/W2197989507","https://openalex.org/W2214430394","https://openalex.org/W2239890062","https://openalex.org/W2249960609","https://openalex.org/W2323580262","https://openalex.org/W3151922143","https://openalex.org/W4206774419"],"related_works":["https://openalex.org/W2811379001","https://openalex.org/W2985746494","https://openalex.org/W2086276729","https://openalex.org/W4206042385","https://openalex.org/W3125689115","https://openalex.org/W114160260","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W2804229345","https://openalex.org/W3122372920"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}