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0569490 - ÚTIA 2024 RIV CH eng M - Monography Chapter
Uglickich, Evženie - Nagy, Ivan
Prediction of overdispersed count data using real-time cluster-based discretization of explanatory variables.
Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers. Cham: Springer, 2023 - (Gusikhin, O.; Madani, K.; Nijmeijer, H.), s. 163-184. Lecture Notes in Electrical Engineering, 1006. ISBN 978-3-031-26474-0
R&D Projects: GA MŠMT(CZ) 8A19009
Institutional support: RVO:67985556
Keywords : Cluster-based model * Count data * Overdispersion * Recursive Bayesian mixture estimation
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0569490.pdf
Permanent Link: https://hdl.handle.net/11104/0340877