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, including smooth transition regression models, logistic smooth transition regressions models, threshold autoregressive models … are captured best by neural net regression models, over the ten year sample of daily exchange rate returns data, from …
Persistent link: https://www.econbiz.de/10011378229
. Our so-called interquantile expectation regression (IQER) estimator is based on the GMM framework. We derive consistency …
Persistent link: https://www.econbiz.de/10011622915
Persistent link: https://www.econbiz.de/10000168256
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Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...
Persistent link: https://www.econbiz.de/10011374406
between NN models and a conventional tool often used in spatial economics studies, viz. (non)linear regression analysis. The …
Persistent link: https://www.econbiz.de/10011300560
patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of …
Persistent link: https://www.econbiz.de/10011348710
Persistent link: https://www.econbiz.de/10009720783
-temporal patterns of new transport economic scenarios.In view of the high dimension of our data-base on transport flows, two different … attention as a new approach that is able to capture major patterns of flows, on the basis of fuzzy and incomplete information …
Persistent link: https://www.econbiz.de/10010336356