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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...
Autores principales: | Martos, Gabriel, Hernández, Nicolás, Muñoz, Alberto, Moguerza, Javier M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512230/ https://www.ncbi.nlm.nih.gov/pubmed/33265131 http://dx.doi.org/10.3390/e20010033 |
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