Periodic autoregressive model identification using genetic algorithms
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DOI: j.1467-9892.2011.00772.x
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Cited by:
- Semenychev, V.K. & Kurkin, E.I. & Semenychev, E.V., 2014. "Modelling and forecasting the trends of life cycle curves in the production of non-renewable resources," Energy, Elsevier, vol. 75(C), pages 244-251.
- Francesco Battaglia & Domenico Cucina & Manuel Rizzo, 2020. "Detection and estimation of additive outliers in seasonal time series," Computational Statistics, Springer, vol. 35(3), pages 1393-1409, September.
- T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
- Aleksandra Grzesiek & Prashant Giri & S. Sundar & Agnieszka WyŁomańska, 2020. "Measures of Cross‐Dependence for Bidimensional Periodic AR(1) Model with α‐Stable Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(6), pages 785-807, November.
- Semenychev, Valery & Kurkin, Eugene & Semenychev, Eugene & Danilova, Anastasia, 2014. "Oscillatory components in the bell-shaped curves of the product life cycle modeling tool," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 111-123.
- PEREAU Jean-Christophe & URSU Eugen, 2015. "Application of periodic autoregressive process to the modeling of the Garonne river flows," Cahiers du GREThA (2007-2019) 2015-14, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
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