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0520385 - ÚI 2021 RIV US eng J - Journal Article
Kořenek, Jakub - Hlinka, Jaroslav
Causal network discovery by iterative conditioning: Comparison of algorithms.
Chaos. Roč. 30, č. 1 (2020), č. článku 013117. ISSN 1054-1500. E-ISSN 1089-7682
R&D Projects: GA MZd(CZ) NV15-29835A; GA MZd(CZ) NV15-33250A; GA MZd(CZ) NV17-28427A; GA ČR(CZ) GA19-16066S; GA ČR(CZ) GA19-11753S
Grant - others:GA MŠk(CZ) LO1611
Institutional support: RVO:67985807
Keywords : causality inference * complex networks * transfer entropy * conditional mutual information * Granger causality
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 3.642, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1063/1.5115267
Permanent Link: http://hdl.handle.net/11104/0305065