{"id":"https://openalex.org/W2002393993","doi":"https://doi.org/10.1109/icassp.2010.5495400","title":"Sparse linear regression with beta process priors","display_name":"Sparse linear regression with beta process priors","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2002393993","doi":"https://doi.org/10.1109/icassp.2010.5495400","mag":"2002393993"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"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/A5100427253","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0001-5151-9388"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110662445","display_name":"John Paisley","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Paisley","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.6826,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82821246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1234","last_page":"1237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/underdetermined-system","display_name":"Underdetermined system","score":0.8777637481689453},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5957537293434143},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.49347031116485596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47799625992774963},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4115094542503357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4041610658168793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4023350179195404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35763809084892273},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3489280343055725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28519484400749207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23775702714920044}],"concepts":[{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.8777637481689453},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5957537293434143},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.49347031116485596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47799625992774963},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4115094542503357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4041610658168793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4023350179195404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35763809084892273},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3489280343055725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28519484400749207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23775702714920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1969415786","https://openalex.org/W1982652137","https://openalex.org/W1987532879","https://openalex.org/W2047028564","https://openalex.org/W2049882758","https://openalex.org/W2071284784","https://openalex.org/W2075779886","https://openalex.org/W2115979064","https://openalex.org/W2117111086","https://openalex.org/W2122825543","https://openalex.org/W2124225314","https://openalex.org/W2127271355","https://openalex.org/W2135046866","https://openalex.org/W2296616510","https://openalex.org/W2400972628","https://openalex.org/W2890620276","https://openalex.org/W2954811775","https://openalex.org/W4234173777","https://openalex.org/W4250955649","https://openalex.org/W4256038730","https://openalex.org/W4285719527","https://openalex.org/W6678356451","https://openalex.org/W6765286134"],"related_works":["https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2562263695","https://openalex.org/W3160546271","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W2168271748","https://openalex.org/W2160108762","https://openalex.org/W1718066205","https://openalex.org/W2793406240"],"abstract_inverted_index":{"A":[0],"Bayesian":[1],"approximation":[2],"to":[3,34,82,108],"finding":[4],"the":[5,20,35,45,68,88,103,106,111,116],"minimum":[6],"\u21130norm":[7],"solution":[8],"for":[9],"an":[10,49],"underdetermined":[11,36],"linear":[12,27],"system":[13],"is":[14,17,65,75,80],"proposed":[15],"that":[16,64],"based":[18],"on":[19,90,96],"beta":[21,25,69],"process":[22,26,70],"prior.":[23,71],"The":[24,72],"regression":[28],"(BP-LR)":[29],"model":[30,37,74,89],"finds":[31],"sparse":[32,60],"solutions":[33],"y":[38],"=":[39],"\u03a6x":[40],"+":[41],"\u03f5,":[42],"by":[43],"modeling":[44],"vector":[46],"x":[47],"as":[48],"element-wise":[50],"product":[51],"of":[52,105,119],"a":[53,59,91,97],"non-sparse":[54],"weight":[55],"vector,":[56,62],"w,":[57],"and":[58,78,95],"binary":[61],"z,":[63],"drawn":[66],"from":[67],"hierarchical":[73],"fully":[76],"conjugate":[77],"therefore":[79],"amenable":[81],"fast":[83],"inference":[84],"methods.":[85],"We":[86],"demonstrate":[87],"compressive":[92],"sensing":[93],"problem":[94],"correlated-feature":[98],"problem,":[99],"where":[100],"we":[101],"show":[102],"ability":[104],"BP-LR":[107],"selectively":[109],"remove":[110],"irrelevant":[112],"features,":[113],"while":[114],"preserving":[115],"relevant":[117],"groups":[118],"correlated":[120],"features.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}