{"id":"https://openalex.org/W2290526893","doi":"https://doi.org/10.5220/0005932600480056","title":"Inferring Causality from Noisy Time Series Data - A Test of Convergent Cross-Mapping","display_name":"Inferring Causality from Noisy Time Series Data - A Test of Convergent Cross-Mapping","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2290526893","doi":"https://doi.org/10.5220/0005932600480056","mag":"2290526893"},"language":"en","primary_location":{"id":"doi:10.5220/0005932600480056","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005932600480056","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on Complex Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005932600480056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dan M\u00f8nster","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Dan M\u00f8nster","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Riccardo Fusaroli","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Riccardo Fusaroli","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kristian Tyl\u00e9n","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kristian Tyl\u00e9n","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andreas Roepstorff","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Andreas Roepstorff","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jacob F. Sherson","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jacob F. Sherson","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":0.4996,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.65073536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9965999722480774,"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":0.9965999722480774,"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/T10487","display_name":"Plant and animal studies","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.732200026512146},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7189000248908997},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5758000016212463},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.555400013923645},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5457000136375427},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5432000160217285},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.5426999926567078}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.732200026512146},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7189000248908997},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5026000142097473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4074999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36730000376701355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36340001225471497},{"id":"https://openalex.org/C2986219828","wikidata":"https://www.wikidata.org/wiki/Q1193095","display_name":"Coupling strength","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3292999863624573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2984485829","wikidata":"https://www.wikidata.org/wiki/Q100766421","display_name":"Noise level","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0005932600480056","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005932600480056","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on Complex Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/68e4e6d8-fa90-4cbe-83e1-8385d84d4284","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/68e4e6d8-fa90-4cbe-83e1-8385d84d4284","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"M\u00f8nster, D, Fusaroli, R, Tyl\u00e9n, K, Roepstorff, A & Sherson, J 2016, Inferring causality from noisy time series data : A test of Convergent Cross-Mapping. in V M\u00e9ndez Mu\u00f1oz, O Gusikhin & V Chang (eds), COMPLEXIS 2016 - Proceedings of the 1st International Conference on Complex Information Systems. SCITEPRESS Digital Library, pp. 48-56, 1st International Conference on Complex Information Systems, Rome, Italy, 22/04/2016. https://doi.org/10.5220/0005932600480056","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1603.01155","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.01155","pdf_url":"https://arxiv.org/pdf/1603.01155","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"}],"best_oa_location":{"id":"doi:10.5220/0005932600480056","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005932600480056","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on Complex Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309928","display_name":"Aarhus Universitet","ror":"https://ror.org/01aj84f44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Convergent":[0],"Cross-Mapping":[1],"(CCM)":[2],"has":[3],"shown":[4],"high":[5],"potential":[6],"to":[7,41,123],"perform":[8],"causal":[9,98],"inference":[10],"in":[11,32,50,54,90],"the":[12,18,23,55,63,69,75,101],"absence":[13],"of":[14,22,57,65,71,81,105,115],"models.":[15],"We":[16,36,60],"assess":[17],"strengths":[19],"and":[20,29,46,53,118],"weaknesses":[21],"method":[24],"by":[25],"varying":[26],"coupling":[27,44],"strength":[28,45],"noise":[30,66,88],"levels":[31,80],"coupled":[33,92],"logistic":[34],"maps.":[35],"find":[37,61],"that":[38,62,86],"CCM":[39,116],"fails":[40],"infer":[42],"accurate":[43,97,113],"even":[47],"causality":[48],"direction":[49],"synchronized":[51],"time-series":[52],"presence":[56,64],"intermediate":[58],"coupling.":[59],"deterministically":[67],"reduces":[68],"level":[70],"cross-mapping":[72],"fidelity,":[73],"while":[74],"convergence":[76],"rate":[77],"exhibits":[78],"higher":[79],"robustness.":[82],"Finally,":[83],"we":[84],"propose":[85],"controlled":[87],"injections":[89],"intermediate-to-strongly":[91],"systems":[93],"could":[94],"enable":[95,110],"more":[96,112],"inferences.":[99],"Given":[100],"inherent":[102],"noisy":[103],"nature":[104],"real-world":[106],"systems,":[107],"our":[108],"findings":[109],"a":[111],"evaluation":[114],"applicability":[117],"advance":[119],"suggestions":[120],"on":[121],"how":[122],"overcome":[124],"its":[125],"weaknesses.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}