{"id":"https://openalex.org/W4221154957","doi":"https://doi.org/10.1016/j.apm.2022.11.034","title":"Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD","display_name":"Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4221154957","doi":"https://doi.org/10.1016/j.apm.2022.11.034"},"language":"en","primary_location":{"id":"doi:10.1016/j.apm.2022.11.034","doi":"https://doi.org/10.1016/j.apm.2022.11.034","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.apm.2022.11.034","pdf_url":null,"source":{"id":"https://openalex.org/S153281200","display_name":"Applied Mathematical Modelling","issn_l":"0307-904X","issn":["0307-904X","1872-8480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Applied Mathematical Modelling","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1016/j.apm.2022.11.034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040241807","display_name":"Anna Pidnebesna","orcid":"https://orcid.org/0000-0002-9391-8886","observed_orcids":["https://orcid.org/0000-0002-9391-8886"]},"institutions":[{"id":"https://openalex.org/I202391551","display_name":"Czech Academy of Sciences","ror":"https://ror.org/053avzc18","country_code":"CZ","type":"government","lineage":["https://openalex.org/I202391551"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I4210167247","display_name":"National Institute of Mental Health","ror":"https://ror.org/05xj56w78","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I4210167247"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Anna Pidnebesna","raw_affiliation_strings":["Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague 182 07, Czech Republic","National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague 182 07, Czech Republic","institution_ids":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"raw_affiliation_string":"National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","institution_ids":["https://openalex.org/I4210167247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086481729","display_name":"Iveta Fajnerov\u00e1","orcid":"https://orcid.org/0000-0002-7399-3029","observed_orcids":["https://orcid.org/0000-0002-7399-3029"]},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]},{"id":"https://openalex.org/I4210167247","display_name":"National Institute of Mental Health","ror":"https://ror.org/05xj56w78","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I4210167247"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Iveta Fajnerov\u00e1","raw_affiliation_strings":["National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","Third Faculty of Medicine, Charles University, Rusk\u00e1 87, 100 00 Prague 10, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","institution_ids":["https://openalex.org/I4210167247"]},{"raw_affiliation_string":"Third Faculty of Medicine, Charles University, Rusk\u00e1 87, 100 00 Prague 10, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ji\u0159\u00ed Hor\u00e1\u010dek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]},{"id":"https://openalex.org/I4210167247","display_name":"National Institute of Mental Health","ror":"https://ror.org/05xj56w78","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I4210167247"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ji\u0159\u00ed Hor\u00e1\u010dek","raw_affiliation_strings":["National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","Third Faculty of Medicine, Charles University, Rusk\u00e1 87, 100 00 Prague 10, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","institution_ids":["https://openalex.org/I4210167247"]},{"raw_affiliation_string":"Third Faculty of Medicine, Charles University, Rusk\u00e1 87, 100 00 Prague 10, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040682292","display_name":"Jaroslav Hlinka","orcid":"https://orcid.org/0000-0003-1402-1470","observed_orcids":["https://orcid.org/0000-0003-1402-1470"]},"institutions":[{"id":"https://openalex.org/I202391551","display_name":"Czech Academy of Sciences","ror":"https://ror.org/053avzc18","country_code":"CZ","type":"government","lineage":["https://openalex.org/I202391551"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"id":"https://openalex.org/I4210167247","display_name":"National Institute of Mental Health","ror":"https://ror.org/05xj56w78","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I4210167247"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jaroslav Hlinka","raw_affiliation_strings":["Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague 182 07, Czech Republic","National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0003-1402-1470","affiliations":[{"raw_affiliation_string":"Institute of Computer Science of the Czech Academy of Sciences, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague 182 07, Czech Republic","institution_ids":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]},{"raw_affiliation_string":"National Institute of Mental Health, Topolov\u00e1 748, Klecany 250 67, Czech Republic","institution_ids":["https://openalex.org/I4210167247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040682292"],"corresponding_institution_ids":["https://openalex.org/I202391551","https://openalex.org/I4210155092","https://openalex.org/I4210167247"],"apc_list":{"value":3070,"currency":"USD","value_usd":3070},"apc_paid":null,"fwci":0.7917,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70460414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"116","issue":null,"first_page":"735","last_page":"748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.5791000127792358,"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":0.5791000127792358,"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":0.15199999511241913,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.09149999916553497,"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/sparse-linear-regression","display_name":"sparse linear regression","score":0.8450000286102295},{"id":"https://openalex.org/keywords/lasso","display_name":"LASSO","score":0.8669999837875366},{"id":"https://openalex.org/keywords/dantzig-selector","display_name":"Dantzig selector","score":1.0},{"id":"https://openalex.org/keywords/hemodynamic-response","display_name":"hemodynamic response","score":0.7699999809265137},{"id":"https://openalex.org/keywords/bayesian-classifier","display_name":"Bayesian classifier","score":0.699999988079071},{"id":"https://openalex.org/keywords/overfitting-and-underfitting","display_name":"overfitting and underfitting","score":0.8140000104904175},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.7419999837875366},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8029999732971191},{"id":"https://openalex.org/keywords/fmri","display_name":"functional MRI","score":0.5720000267028809}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6949671506881714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353150010108948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309072375297546},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.583971381187439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5230075716972351},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5142233371734619},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5118109583854675},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5110138654708862},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5062800645828247},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4771832227706909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45999372005462646},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.443410724401474},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4105231761932373},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2921407222747803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2836763560771942},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2235814332962036},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15473303198814392},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.apm.2022.11.034","doi":"https://doi.org/10.1016/j.apm.2022.11.034","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.apm.2022.11.034","pdf_url":null,"source":{"id":"https://openalex.org/S153281200","display_name":"Applied Mathematical Modelling","issn_l":"0307-904X","issn":["0307-904X","1872-8480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Applied Mathematical Modelling","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2203.07209","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.07209","pdf_url":"https://arxiv.org/pdf/2203.07209","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},{"id":"doi:10.48550/arxiv.2203.07209","doi":"https://doi.org/10.48550/arxiv.2203.07209","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.07209","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1016/j.apm.2022.11.034","doi":"https://doi.org/10.1016/j.apm.2022.11.034","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.apm.2022.11.034","pdf_url":null,"source":{"id":"https://openalex.org/S153281200","display_name":"Applied Mathematical Modelling","issn_l":"0307-904X","issn":["0307-904X","1872-8480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Applied Mathematical Modelling","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5382489143","display_name":null,"funder_award_id":"00023752","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G8187044645","display_name":"Characterizing state repertoire and dynamics of spontaneous brain activity by neuroimaging methods","funder_award_id":"GA21-32608S","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221154957.pdf","grobid_xml":"https://content.openalex.org/works/W4221154957.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W403935824","https://openalex.org/W1529944527","https://openalex.org/W1579271636","https://openalex.org/W1598813349","https://openalex.org/W1963526411","https://openalex.org/W1967101654","https://openalex.org/W1968371014","https://openalex.org/W1974731011","https://openalex.org/W1976781461","https://openalex.org/W1988821830","https://openalex.org/W1992027090","https://openalex.org/W1995379035","https://openalex.org/W1995691260","https://openalex.org/W2022925177","https://openalex.org/W2024729467","https://openalex.org/W2025319485","https://openalex.org/W2032026767","https://openalex.org/W2050717100","https://openalex.org/W2050848588","https://openalex.org/W2053728866","https://openalex.org/W2058420610","https://openalex.org/W2063978378","https://openalex.org/W2064554639","https://openalex.org/W2071608556","https://openalex.org/W2071714163","https://openalex.org/W2083116834","https://openalex.org/W2091093127","https://openalex.org/W2092062478","https://openalex.org/W2092861745","https://openalex.org/W2096680488","https://openalex.org/W2110745932","https://openalex.org/W2116581043","https://openalex.org/W2129621723","https://openalex.org/W2135046866","https://openalex.org/W2138092999","https://openalex.org/W2138170572","https://openalex.org/W2139447054","https://openalex.org/W2142635246","https://openalex.org/W2146855196","https://openalex.org/W2150307220","https://openalex.org/W2156770396","https://openalex.org/W2158196600","https://openalex.org/W2291428227","https://openalex.org/W2467783999","https://openalex.org/W2512138671","https://openalex.org/W2556623269","https://openalex.org/W2656393564","https://openalex.org/W2749773672","https://openalex.org/W2756033535","https://openalex.org/W2759001423","https://openalex.org/W2778131331","https://openalex.org/W2913362696","https://openalex.org/W2914814277","https://openalex.org/W2968642061","https://openalex.org/W2969341258","https://openalex.org/W2974896981","https://openalex.org/W2998449060","https://openalex.org/W3104464117","https://openalex.org/W3164846654","https://openalex.org/W4206196235","https://openalex.org/W6613812410"],"related_works":["https://openalex.org/W2994814278","https://openalex.org/W2056346227","https://openalex.org/W1602193106","https://openalex.org/W1489014887","https://openalex.org/W22873392","https://openalex.org/W2040237800","https://openalex.org/W1535913715","https://openalex.org/W7096277219","https://openalex.org/W848254528","https://openalex.org/W2045185094"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-04-03T00:00:00"}