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Robust streamflow forecasting: a Student's t-mixture vector autoregressive model
(SPRINGER, 2022)
Accurate streamflow forecasting is one of the main challenges in the management of reservoirs, where autoregressive models have been commonly used. Typically, the noise of these models is considered Gaussian. However, this ...
Autoregressive vectors and the identification of monetary policy shocks in ArgentinaVectores autoregresivos e identificación de shocks de política monetaria en Argentina
(Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba., 2004)
Measuring time series predictability using support vector regression
(TAYLOR & FRANCIS INC, 2008)
Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive ...
The infrastructure investment effect and transportation sector toward economic growth in Indonesia
(Universidad del Zulia, 2020)
Autoregressive vectors model in the analysis of the determinants of soybean production in Brazil
(Universidade Federal de Santa Maria, 2020)
Multivariate Threshold Models: TVARs and TVECMsMultivariate Threshold Models: TVARs and TVECMs
(Sociedade Brasileira de Econometria, 2003)
Predicción del cambio climático con naive bayes
(Universidad Peruana UniónPE, 2019-12-02)
El análisis fue basado en una data set de 1800 registros que fueron clasificados con su variable temperatura y humedad donde 80% de la data fue utilizado para el entrenamiento y 20% para la prueba donde el error cuadrado ...