Discrete-time autoregressive model for unequally spaced time-series observations
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such as astronomy, finance, and climatology, among others. There are some techniques that fit unequally spaced time series, s...
| Autores principales: | , , |
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| Formato: | Artículo (Article) |
| Idioma: | Inglés (English) |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://repositorio.uc.cl/handle/11534/100931 |