{"id":"https://openalex.org/W2542048364","doi":"https://doi.org/10.1109/globalsip.2013.6736913","title":"Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening","display_name":"Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2542048364","doi":"https://doi.org/10.1109/globalsip.2013.6736913","mag":"2542048364"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2013.6736913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6736913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","raw_type":"proceedings-article"},"type":"article","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/A5017738942","display_name":"Hamed Firouzi","orcid":"https://orcid.org/0000-0001-5418-2119"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Firouzi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103053820","display_name":"Dennis Wei","orcid":"https://orcid.org/0000-0002-6510-1537"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennis Wei","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692655","display_name":"Alfred O. Hero","orcid":"https://orcid.org/0000-0002-2531-9670"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfred O. Hero","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":2.4147,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93404692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"543","issue":null,"first_page":"455","last_page":"458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976999759674072,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7055873274803162},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.6104130744934082},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.598686158657074},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5812459588050842},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5751876831054688},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5334062576293945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4842102527618408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48177477717399597},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.47140005230903625},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4681397080421448},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4660870432853699},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.4606684446334839},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.44428738951683044},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42771488428115845},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.426904559135437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4091382622718811},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.3917767405509949},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30504173040390015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2911188006401062},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.21458658576011658},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.1966027319431305}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7055873274803162},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.6104130744934082},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.598686158657074},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5812459588050842},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5751876831054688},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5334062576293945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4842102527618408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48177477717399597},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.47140005230903625},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4681397080421448},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4660870432853699},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.4606684446334839},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.44428738951683044},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42771488428115845},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.426904559135437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4091382622718811},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3917767405509949},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30504173040390015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2911188006401062},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.21458658576011658},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.1966027319431305},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2013.6736913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6736913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1539523747","https://openalex.org/W1985260835","https://openalex.org/W1985929987","https://openalex.org/W1993948873","https://openalex.org/W1999653836","https://openalex.org/W2115755118","https://openalex.org/W2142355131","https://openalex.org/W2489540272","https://openalex.org/W2962824394","https://openalex.org/W3140343701","https://openalex.org/W4254460411","https://openalex.org/W6684498480"],"related_works":["https://openalex.org/W1892569393","https://openalex.org/W614735940","https://openalex.org/W2899842971","https://openalex.org/W2385549327","https://openalex.org/W2095386159","https://openalex.org/W2625149244","https://openalex.org/W2208497453","https://openalex.org/W1994964267","https://openalex.org/W2332016763","https://openalex.org/W2162714469"],"abstract_inverted_index":{"We":[0,90,151],"propose":[1],"a":[2,35,119],"framework":[3],"for":[4,117,138,170],"spatio-temporal":[5],"correlation":[6,59,84,143],"analysis":[7,60,85],"of":[8,37,44,52,95,131,157,188,195],"jointly":[9],"Gaussian":[10,158],"Wide":[11],"Sense":[12],"Stationary":[13],"(WSS)":[14],"multivariate":[15,46],"time":[16,25,39,47,53,63,80,115,127,160,173],"series.":[17,40,174],"The":[18,107],"goal":[19],"is":[20],"to":[21,78,98,102,111,114,148,166],"identify":[22,149],"the":[23,28,42,45,50,62,74,79,87,92,99,122,126,163,186,193,196],"hub":[24,96,120,172],"series,":[26],"i.e.,":[27],"ones":[29],"that":[30,125],"are":[31,55,129],"highly":[32],"correlated":[33],"with":[34],"number":[36,51],"other":[38],"When":[41],"dimension":[43],"series":[48,81,116,128,161],"and":[49,82,181,192],"samples":[54],"relatively":[56],"large,":[57],"direct":[58],"in":[61,86,162],"domain":[64,101,165],"could":[65],"be":[66,112,146],"computationally":[67],"intractable.":[68],"As":[69],"an":[70,154],"alternative,":[71],"we":[72],"apply":[73],"Discrete":[75],"Fourier":[76,105],"Transform":[77],"perform":[83,167],"frequency":[88,164],"domain.":[89],"extend":[91],"previous":[93],"theory":[94,108],"screening":[97],"complex":[100],"accommodate":[103],"complex-valued":[104],"transforms.":[106],"allows":[109],"p-values":[110],"assigned":[113],"being":[118],"under":[121],"null":[123],"hypothesis":[124],"independent":[130],"each":[132],"other.":[133],"It":[134],"also":[135],"specifies":[136],"thresholds":[137],"which":[139],"thresholded":[140],"sample":[141],"(partial)":[142],"matrices":[144],"can":[145],"used":[147],"hubs.":[150],"then":[152],"use":[153],"independence":[155],"property":[156],"WSS":[159],"multiple":[168],"inference":[169],"detecting":[171],"Experimental":[175],"results":[176,191],"on":[177],"both":[178],"synthetic":[179],"data":[180,184],"real":[182],"financial":[183],"illustrate":[185],"accuracy":[187],"our":[189],"theoretical":[190],"usefulness":[194],"proposed":[197],"framework.":[198]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
