{"id":"https://openalex.org/W4415367955","doi":"https://doi.org/10.1109/isit63088.2025.11195700","title":"Inferring Dynamic Delays Using a Sample Path Causal Measure","display_name":"Inferring Dynamic Delays Using a Sample Path Causal Measure","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415367955","doi":"https://doi.org/10.1109/isit63088.2025.11195700"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","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/A5115597701","display_name":"Sabrina Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sabrina Liu","raw_affiliation_strings":["Stanford University,Department of Electrical Engineering,Stanford,CA"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Electrical Engineering,Stanford,CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111068375","display_name":"T. Coleman","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd P. Coleman","raw_affiliation_strings":["Stanford University,Department of Bioengineering,Stanford,CA"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Bioengineering,Stanford,CA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115597701"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3050571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.7770000100135803,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.7770000100135803,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/measure","display_name":"Measure (data warehouse)","score":0.6133000254631042},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5558000206947327},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5498999953269958},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4767000079154968},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.45829999446868896},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45750001072883606},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383000016212463},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6133000254631042},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5498999953269958},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.45829999446868896},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.40230000019073486},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33809998631477356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33079999685287476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.258899986743927},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25369998812675476},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G578182137","display_name":null,"funder_award_id":"U01NS131914","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1607114662","https://openalex.org/W1978714330","https://openalex.org/W2030587315","https://openalex.org/W2041782669","https://openalex.org/W2066009496","https://openalex.org/W2082484220","https://openalex.org/W2102098892","https://openalex.org/W2129983824","https://openalex.org/W2142635246","https://openalex.org/W2154473414","https://openalex.org/W2168614460","https://openalex.org/W2480026081","https://openalex.org/W2773438964","https://openalex.org/W2963675110","https://openalex.org/W2979179438","https://openalex.org/W3016796767","https://openalex.org/W3045608583","https://openalex.org/W3116371286","https://openalex.org/W4392309297"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"dynamic":[1,103,162],"relationships":[2],"between":[3,17,73,82],"random":[4,75],"processes":[5,21,76],"is":[6,22],"important":[7],"in":[8,31,50,109,157],"many":[9],"applications,":[10,52],"such":[11,39],"as":[12,40,87,113],"neuroscience.":[13],"The":[14],"interactive":[15],"relationship":[16],"multiple":[18],"recorded":[19],"neural":[20],"a":[23,62,99,114,126,132,137],"challenge":[24],"to":[25,46,56,67,101,125,141],"discover,":[26],"particularly":[27],"when":[28],"the":[29,70,79,144,152,155,159],"delays":[30,49,104],"these":[32,110],"interactions":[33],"are":[34,54],"dynamic.":[35],"Although":[36],"informationtheoretic":[37],"measures":[38],"directed":[41,71],"information":[42,94],"have":[43],"been":[44],"adopted":[45],"understand":[47],"propagation":[48],"neuroscience":[51],"they":[53],"insufficient":[55],"capture":[57],"time-varying":[58,133],"delays.":[59],"We":[60,97,121,147],"introduce":[61],"sample":[63],"path":[64],"causal":[65],"measure":[66],"help":[68],"infer":[69],"delay":[72,117,129,134,156],"two":[74,83],"that":[77],"considers":[78],"relative":[80,111],"entropy":[81],"predictors,":[84],"dynamically":[85,142],"changing":[86],"needed,":[88],"where":[89],"one":[90],"has":[91],"more":[92],"(delayed)":[93],"than":[95],"another.":[96],"develop":[98],"procedure":[100,124],"determine":[102],"by":[105],"identifying":[106],"phase":[107],"transitions":[108],"entropies":[112],"function":[115],"of":[116],"order":[118],"and":[119,131,161],"time.":[120],"apply":[122],"this":[123],"simulated":[127],"constant":[128,160],"case":[130,135],"using":[136],"sequential":[138],"probability":[139],"approach":[140],"track":[143],"evolving":[145],"statistics.":[146],"demonstrate":[148],"with":[149],"simulations":[150],"how":[151],"method":[153],"identifies":[154],"both":[158],"situations.":[163]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-21T00:00:00"}