dc.contributor.author | Alvarez-Rodriguez, U. | |
dc.contributor.author | Latora, V. | |
dc.date.accessioned | 2023-08-29T11:36:36Z | |
dc.date.available | 2023-08-29T11:36:36Z | |
dc.date.issued | 2021-07-01 | |
dc.identifier.citation | Physical Review E: 104 (1): 14112 (2021) | es_ES |
dc.identifier.uri | http://hdl.handle.net/10810/62267 | |
dc.description.abstract | We introduce a general method for the study of memory in symbolic sequences based on higher-order Markov analysis. The Markov process that best represents a sequence is expressed as a mixture of matrices of minimal orders, enabling the definition of the so-called memory profile, which unambiguously reflects the true order of correlations. The method is validated by recovering the memory profiles of tunable synthetic sequences. Finally, we scan real data and showcase with practical examples how our protocol can be used to extract relevant stochastic properties of symbolic sequences. © 2021 American Physical Society. | es_ES |
dc.description.sponsorship | U.A.-R. acknowledges support from the Spanish Government through Maria de Maeztu excellence accreditation 2018-2022 (Ref. No. MDM-2017-0714), from the Basque Government through the Posdoctoral Program (Ref. No. POS-2017-1-0022) and from the Swiss National Science Foundation (Ref. No. 176938). V.L. acknowledges support from the EPSRC Project No. EP/N013492/1 and from the Leverhulme Trust Research Fellowship “CREATE: The network components of creativity and success.” | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Physical Review E | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | * |
dc.subject | General method | es_ES |
dc.subject | Higher-order | es_ES |
dc.subject | Markov analysis | es_ES |
dc.subject | Memory ordering | es_ES |
dc.subject | Protocol cans | es_ES |
dc.subject | Stochastic properties | es_ES |
dc.subject | Symbolic sequence | es_ES |
dc.subject | Synthetic sequence | es_ES |
dc.title | Memory order decomposition of symbolic sequences | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2021 American Physical Society. | es_ES |
dc.rights.holder | Atribución-NoComercial-CompartirIgual 3.0 España | * |
dc.relation.publisherversion | https://dx.doi.org/10.1103/PhysRevE.104.014112 | es_ES |
dc.identifier.doi | 10.1103/PhysRevE.104.014112 | |
dc.contributor.funder | EPSRC | |
dc.contributor.funder | Leverhulme Trust | |
dc.contributor.funder | Swiss National Science Foundation | |
dc.contributor.funder | Basque Government | |