On extracting probability distribution information from time series
Time-series (TS) are employed in a variety of academic disciplines. In this paper we focus on extracting probability density functions (PDFs) from TS to gain an insight into the underlying dynamic processes. On discussing this "extraction" problem, we consider two popular approaches that w...
Guardado en:
| Autores principales: | Kowalski, Andrés Mauricio, Martín, María Teresa, Plastino, Ángel Luis, Judge, George |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2012
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/83631 |
| Aporte de: |
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