0539725 - ÚI 2022 RIV CH eng C - Conference Paper (international conference)
Hlaváčková-Schindler, Kateřina - Plant, C.Poisson Graphical Granger Causality by Minimum Message Length.
Machine Learning and Knowledge Discovery in Databases. Proceedings, Part 1. Cham: Springer, 2021 - (Hutter, F.; Kersting, K.; Lijffijt, J.; Valera, I.), s. 526-541. Lecture Notes in Artificial Intelligence, 12457. ISBN 978-3-030-67657-5. ISSN 0302-9743.
[ECML PKDD 2020: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Ghent / Virtual (BE), 14.09.2020-18.09.2020]
R&D Projects: GA ČR(CZ) GA19-16066S
Institutional support: RVO:67985807
Keywords : Granger causality * Poisson graphical Granger model * Minimum message length * Ridge regression for GLM
OECD category: Applied mathematics
Permanent Link: http://hdl.handle.net/11104/0317427
