Econometric modeling at mixed frequencies.
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Klein, L.R. (2004)
Journal of Mathematical Sciences (New York)
Matsumoto, Akio (1997)
Discrete Dynamics in Nature and Society
Emilio Caminero, Ignacio Díaz-Emparanza (1997)
Kybernetika
Hristu-Varsakelis, D., Kyrtsou, C. (2008)
Discrete Dynamics in Nature and Society
Miguel Delgado, M. Carmen Pegalajar, Manuel Pegalajar Cuéllar (2006)
Mathware and Soft Computing
Theoretical and experimental studies have shown that traditional training algorithms for Dynamical Recurrent Neural Networks may suffer of local optima solutions, due to the error propagation across the recurrence. In the last years, many researchers have put forward different approaches to solve this problem, most of them being based on heuristic procedures. In this paper, the training capabilities of evolutionary techniques are studied, for Dynamical Recurrent Neural Networks. The performance...
L. Jarešová: (2010)
Acta Universitatis Carolinae. Mathematica et Physica
Tomáš Cipra, Tomáš Hanzák (2008)
Kybernetika
The paper deals with extensions of exponential smoothing type methods for univariate time series with irregular observations. An alternative method to Wright’s modification of simple exponential smoothing based on the corresponding ARIMA process is suggested. Exponential smoothing of order m for irregular data is derived. A similar method using a DLS **discounted least squares** estimation of polynomial trend of order m is derived as well. Maximum likelihood parameters estimation for forecasting...
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