Dynamic and sequential update for time series forecasting
Two different sciences, physics and statistics, have worked, from the foundations of each, on the explanation and modelling of stochastic processes characterized by the succession of random variables whose realizations at each instant of time give rise to time series. From Physics we have worked wit...
- Autores:
-
GALLARDO PÉREZ, HENRY DE JESÚS
Vergel Ortega, Mawency
Rojas Suárez, Jhan Piero
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/456
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/456
https://doi.org/10.1088/1742-6596/1587/1/012016
- Palabra clave:
- Rights
- openAccess
- License
- Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.