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Estimation of Dynamic Networks for High-Dimensional Nonstationary Time Series
This paper is concerned with the estimation of time-varying networks for high-dimensional nonstationary time series. Two types of dynamic behaviors are considered: structural breaks (i.e., abrupt change points) and smooth changes. To simultaneously handle these two types of time-varying features, a...
में बचाया:
| में प्रकाशित: | Entropy (Basel) |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
MDPI
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516486/ https://ncbi.nlm.nih.gov/pubmed/33285830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22010055 |
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