A novel way to detect correlations on multi-time scales, with temporal evolution and for multi-variables
Crossref DOI link: https://doi.org/10.1038/srep27707
Published Online: 2016-06-13
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yuan, Naiming
Xoplaki, Elena
Zhu, Congwen
Luterbacher, Juerg
Text and Data Mining valid from 2016-06-13
Version of Record valid from 2016-06-13
Article History
Received: 1 March 2016
Accepted: 24 May 2016
First Online: 13 June 2016
Competing interests
: The authors declare no competing financial interests.