{"id":"https://openalex.org/W2962737804","doi":"https://doi.org/10.1109/embc.2016.7591969","title":"Multiscale analysis of information dynamics for linear multivariate processes","display_name":"Multiscale analysis of information dynamics for linear multivariate processes","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2962737804","doi":"https://doi.org/10.1109/embc.2016.7591969","mag":"2962737804"},"language":"en","primary_location":{"id":"pmh:oai:iris.unitn.it:11572/294316","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/294316","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"},"type":"article","indexed_in":[],"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/A5036606451","display_name":"Luca Faes","orcid":"https://orcid.org/0000-0002-3271-5348"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Faes L.","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035810482","display_name":"Alessandro Montalto","orcid":"https://orcid.org/0000-0003-3950-2609"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Montalto A.","raw_affiliation_strings":["Dept. of Data Analysis, University of Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Data Analysis, University of Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085541040","display_name":"Sebastiano Stramaglia","orcid":"https://orcid.org/0000-0002-5873-8564"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stramaglia S.","raw_affiliation_strings":["Dept. of Physics, University of Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Physics, University of Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003086956","display_name":"Giandomenico Nollo","orcid":"https://orcid.org/0000-0002-9837-083X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nollo G.","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047882948","display_name":"Daniele Marinazzo","orcid":"https://orcid.org/0000-0002-9803-0122"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marinazzo D.","raw_affiliation_strings":["Dept. of Data Analysis, University of Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Data Analysis, University of Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036606451"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59565467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.994700014591217,"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/T10581","display_name":"Neural dynamics and brain function","score":0.994700014591217,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9890999794006348,"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":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.74367356300354},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6846361756324768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644464373588562},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5527299642562866},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5078585743904114},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4673942029476166},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4669175148010254},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4462394714355469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26897573471069336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2506565451622009},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2390224039554596},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1669808030128479},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11369752883911133}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.74367356300354},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6846361756324768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644464373588562},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5527299642562866},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5078585743904114},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4673942029476166},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4669175148010254},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4462394714355469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26897573471069336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2506565451622009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2390224039554596},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1669808030128479},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11369752883911133},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:iris.unitn.it:11572/294316","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/294316","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1571114540","https://openalex.org/W1990650190","https://openalex.org/W2006687001","https://openalex.org/W2036681456","https://openalex.org/W2050523241","https://openalex.org/W2093266575","https://openalex.org/W2112596836","https://openalex.org/W2118604203","https://openalex.org/W2121383959","https://openalex.org/W2127873098","https://openalex.org/W2169655516","https://openalex.org/W3103629061","https://openalex.org/W4297728718"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W1520183331","https://openalex.org/W2734842993","https://openalex.org/W2168175994","https://openalex.org/W2468452228"],"abstract_inverted_index":{"In":[0],"the":[1,20,23,37,47,51,61,67,86,106,118,133],"study":[2,58],"of":[3,16,22,29,40,50,70,89,126,164],"complex":[4,41],"physical":[5],"and":[6,114,129,135,151,167],"physiological":[7],"systems":[8],"represented":[9],"by":[10],"multivariate":[11,75],"time":[12,63,81],"series,":[13],"an":[14],"issue":[15],"great":[17],"interest":[18],"is":[19,140],"description":[21],"system":[24],"dynamics":[25,42,72,147],"over":[26],"a":[27,64,90,96],"range":[28],"different":[30,80],"temporal":[31],"scales.":[32,82],"While":[33],"information-theoretic":[34],"approaches":[35],"to":[36,104,116,122,143,161,171],"multiscale":[38,87,145],"analysis":[39],"are":[43,54],"being":[44],"increasingly":[45],"used,":[46],"theoretical":[48],"properties":[49],"applied":[52],"measures":[53,125],"poorly":[55],"understood.":[56],"This":[57],"introduces":[59,95],"for":[60,66,73,132,148],"first":[62],"framework":[65,139],"analytical":[68,124],"computation":[69],"information":[71,127,130,146,165],"linear":[74],"stochastic":[76],"processes":[77],"explored":[78],"at":[79],"After":[83],"showing":[84,156],"that":[85,157],"processing":[88],"vector":[91],"autoregressive":[92],"(VAR)":[93],"process":[94,109],"moving":[97],"average":[98],"(MA)":[99],"component,":[100],"we":[101],"describe":[102],"how":[103,115],"represent":[105],"resulting":[107],"VARMA":[108],"using":[110],"statespace":[111],"(SS)":[112],"models":[113],"exploit":[117],"SS":[119],"model":[120],"parameters":[121],"compute":[123],"storage":[128,166],"transfer":[131,168],"original":[134],"rescaled":[136],"processes.":[137],"The":[138],"then":[141],"used":[142],"quantify":[144],"simulated":[149],"unidirectionally":[150],"bidirectionally":[152],"coupled":[153],"VAR":[154],"processes,":[155],"rescaling":[158],"may":[159],"lead":[160],"insightful":[162],"patterns":[163],"but":[169],"also":[170],"potentially":[172],"misleading":[173],"behaviors.":[174]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}