Number of the records: 1

Causal network discovery by iterative conditioning: Comparison of algorithms

SYSNO	0520385
Title	Causal network discovery by iterative conditioning: Comparison of algorithms
Author(s)	Kořenek, Jakub (UIVT-O)_{ORCID, RID, SAI} Hlinka, Jaroslav (UIVT-O)_{RID, SAI, ORCID}
Source Title	Chaos. Roč. 30, č. 1 (2020). - : AIP Publishing
Article number	013117
Document Type	Článek v odborném periodiku
Grant	NV15-29835A GA MZd - Ministry of Health (MZ), CZ - Czech Republic
	NV15-33250A GA MZd - Ministry of Health (MZ), CZ - Czech Republic
	NV17-28427A GA MZd - Ministry of Health (MZ), CZ - Czech Republic
	LO1611, CZ - Czech Republic
	GA19-16066S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
	GA19-11753S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	causality inference * complex networks * transfer entropy * conditional mutual information * Granger causality
URL	http://dx.doi.org/10.1063/1.5115267
Permanent Link	http://hdl.handle.net/11104/0305065

Number of the records: 1