Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Laila Melkas"'
Autor:
Jarmo Mäkelä, Laila Melkas, Ivan Mammarella, Tuomo Nieminen, Suyog Chandramouli, Rafael Savvides, Kai Puolamäki
Publikováno v:
Biogeosciences. 19:2095-2099
In this note, we argue that the outputs of causal discovery algorithms should not usually be considered end results but rather starting points and hypotheses for further study. The incentive to explore this topic came from a recent study by Krich et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d23bd59a687e1a3e185896f076f5b7a2
https://doi.org/10.5194/bg-19-2095-2022
https://doi.org/10.5194/bg-19-2095-2022
Autor:
Jarmo Makela, Kai Puolamäki, Laila Melkas, Suyog Halasinamara Chandramouli, Ivan Mammarella, Rafael Savvides, Tuomo Nieminen
This is a comment on "Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach" by Krich et al., Biogeosciences, 17, 1033–1061, 2020, which gives a good introduction to causal discovery, but confines the scope by in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::657182c44d157778f700db2af666beed
https://doi.org/10.5194/bg-2021-231
https://doi.org/10.5194/bg-2021-231
