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Sequential Change-Point Detection via Online Convex Optimization
Sequential change-point detection when the distribution parameters are unknown is a fundamental problem in statistics and machine learning. When the post-change parameters are unknown, we consider a set of detection procedures based on sequential likelihood ratios with non-anticipating estimators co...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512601/ https://ncbi.nlm.nih.gov/pubmed/33265199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20020108 |
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