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simplified problems might not be satisfying. A different approach consists in applying optimization heuristics such as …
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This paper focuses on finding starting-values for the estimation of Vector STAR models. Based on a Monte Carlo study, different procedures are evaluated. Their performance is assessed with respect to model fit and computational effort. I employ (i) grid search algorithms and (ii) heuristic...
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In econometric modelling the choice of relevant variables is of crucial importance for the Interpretation of the results. In many cases it is based on some a priori knowledge from economic theory and a rather heuristic procedure for determining other influential variables sometimes based on an...
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In this paper the genetic algorithm is described, applications in the field of statistics are indicated and it is applied to the estimation of the parameters of a Johnson-type distribution. The convergence behaviour is analyzed with respect to the mutation probability, the kind of mutations and...
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