A novel approach to forecast time series exhibiting aperiodic cycles using Exponential Autoregressive Moving Average models
When modeling real-world processes, the data generating process may exhibit behavior such as significant aperiodic cycles with variable peaks and troughs. In such cases, which can be ascertained through periodogram analysis, non-linear time-series models are crucial. Evolved from the family of Expon...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Taylor & Francis
2026-02-01
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| Edice: | Research in Statistics |
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| On-line přístup: | https://www.tandfonline.com/doi/10.1080/27684520.2026.2635364 |
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