{"id":"https://openalex.org/W2737175082","doi":"https://doi.org/10.1007/978-3-319-66182-7_53","title":"Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity","display_name":"Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2737175082","doi":"https://doi.org/10.1007/978-3-319-66182-7_53","mag":"2737175082"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-66182-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66182-7_53","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":"book-chapter","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/A5112656161","display_name":"Mehdi Rahim","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mehdi Rahim","raw_affiliation_strings":["Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","NEUROSPIN - Service NEUROSPIN (France)","PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"NEUROSPIN - Service NEUROSPIN (France)","institution_ids":[]},{"raw_affiliation_string":"PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026762833","display_name":"Bertrand Thirion","orcid":"https://orcid.org/0000-0001-5018-7895"},"institutions":[{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Thirion","raw_affiliation_strings":["Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","NEUROSPIN - Service NEUROSPIN (France)"],"affiliations":[{"raw_affiliation_string":"Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"NEUROSPIN - Service NEUROSPIN (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074733625","display_name":"Ga\u00ebl Varoquaux","orcid":"https://orcid.org/0000-0003-1076-5122"},"institutions":[{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ga\u00ebl Varoquaux","raw_affiliation_strings":["Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","NEUROSPIN - Service NEUROSPIN (France)"],"affiliations":[{"raw_affiliation_string":"Parietal Team, Inria - CEA, Paris-Saclay University, Paris, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"PARIETAL - Modelling brain structure, function and variability based on high-field MRI data (Neurospin, CEA Saclay, B\u00e2timent 145, 91191 Gif-sur-Yvette Cedex - France)","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"NEUROSPIN - Service NEUROSPIN (France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112656161"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210126360","https://openalex.org/I4210128565"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3074,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90112721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"460","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7811926007270813},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6971359252929688},{"id":"https://openalex.org/keywords/rational-quadratic-covariance-function","display_name":"Rational quadratic covariance function","score":0.5979089736938477},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.553644597530365},{"id":"https://openalex.org/keywords/shrinkage-estimator","display_name":"Shrinkage estimator","score":0.5498202443122864},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.5389976501464844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5095046162605286},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.44548478722572327},{"id":"https://openalex.org/keywords/mat\u00e9rn-covariance-function","display_name":"Mat\u00e9rn covariance function","score":0.43567031621932983},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.41912662982940674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39766427874565125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36436378955841064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3576895594596863},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3323167562484741},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.32254183292388916},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.16946691274642944},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.14452609419822693},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06606501340866089}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7811926007270813},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6971359252929688},{"id":"https://openalex.org/C148893098","wikidata":"https://www.wikidata.org/wiki/Q7295778","display_name":"Rational quadratic covariance function","level":5,"score":0.5979089736938477},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.553644597530365},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.5498202443122864},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.5389976501464844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5095046162605286},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.44548478722572327},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.43567031621932983},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.41912662982940674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39766427874565125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36436378955841064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3576895594596863},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3323167562484741},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.32254183292388916},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.16946691274642944},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.14452609419822693},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06606501340866089},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-66182-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-66182-7_53","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":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W965365752","https://openalex.org/W1606491053","https://openalex.org/W1663973292","https://openalex.org/W1690941339","https://openalex.org/W1828334443","https://openalex.org/W1983496390","https://openalex.org/W1990512452","https://openalex.org/W2024729467","https://openalex.org/W2044981864","https://openalex.org/W2059640215","https://openalex.org/W2062125287","https://openalex.org/W2119963163","https://openalex.org/W2122759946","https://openalex.org/W2138356120","https://openalex.org/W2138903133","https://openalex.org/W2138905229","https://openalex.org/W2268133546","https://openalex.org/W2949830731","https://openalex.org/W3102360731","https://openalex.org/W4212863985","https://openalex.org/W4298298962"],"related_works":["https://openalex.org/W2126916073","https://openalex.org/W2022823194","https://openalex.org/W69681753","https://openalex.org/W2109377650","https://openalex.org/W4386993326","https://openalex.org/W2964105278","https://openalex.org/W2099550146","https://openalex.org/W1627656821","https://openalex.org/W2018001152","https://openalex.org/W3211883524"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
