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tting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child …
Persistent link: https://www.econbiz.de/10010945075
World power and gas markets have a natural relationship with global tradable carbon permits markets, including the U.S. Clean Air Act Amendments and the EU Emissions Trading Scheme, the latter officially launched in January 2005. Electric utilities operate their power plants based in part on the...
Persistent link: https://www.econbiz.de/10005162982
Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...
Persistent link: https://www.econbiz.de/10010580995
This paper develops methods for automatic selection of variables in forecasting Bayesian vector autoregressions (VARs …
Persistent link: https://www.econbiz.de/10008593003
frequentist and Bayesian estimation. No significant difference is found between the qualities of the forecasts of the whole … density, whereas the Bayesian approach exhibits significantly better left-tail forecast accuracy. …
Persistent link: https://www.econbiz.de/10011256766
This study presents a first comparative analysis of Lasso-type (Lasso, adaptive Lasso, elastic net) and heuristic subset selection methods. Although the Lasso has shown success in many situations, it has some limitations. In particular, inconsistent results are obtained for pairwise highly...
Persistent link: https://www.econbiz.de/10010907957
In this paper modelling time series by single hidden layer feedforward neural network models is considered. A coherent modelling strategy based on statistical inference is discussed. The problems of selecting the variables and the number of hidden units are solved by using statistical model...
Persistent link: https://www.econbiz.de/10005744435
This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using existing techniques. The problem of selecting the number of hidden units...
Persistent link: https://www.econbiz.de/10005744462
This paper is concerned with modelling time series by single hidden-layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using existing techniques. The problem of selecting the number of hidden units...
Persistent link: https://www.econbiz.de/10005649189
Este trabajo examina los efectos de la tasa de fondos federales en una economia con caracteristicas particulares: el caso de Puerto Rico. De acuerdo a dichas caracteristicas se desarrolla un modelo dinamico que apoya tanto la evidencia empirica como relacion de la creacion y destruccion de...
Persistent link: https://www.econbiz.de/10010628366