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Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection

We propose a definition of entropy for stochastic processes. We provide a reproducing kernel Hilbert space model to estimate entropy from a random sample of realizations of a stochastic process, namely functional data, and introduce two approaches to estimate minimum entropy sets. These sets are rel...

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Bibliografski detalji
Izdano u:Entropy (Basel)
Glavni autori: Martos, Gabriel, Hernández, Nicolás, Muñoz, Alberto, Moguerza, Javier M.
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512230/
https://ncbi.nlm.nih.gov/pubmed/33265131
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20010033
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