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In this paper we investigate the relationship between crude and age adjusted mortality andeconomic conditions by … wavelet analysis in Sweden over the period 1800-2000. We use wavelet correlations and cross-correlations to analyze the … contemporaneous connection as well as the lead/lag relationship between mortality and GDP at different time scales. Our results …
Persistent link: https://www.econbiz.de/10005245154
This paper proposes a novel method for estimating the traffic demand risk associated with transportation. Using mathematical properties of wavelets, we develop a statistical measure of traffic demand sensitivity with respect to GDP. This measure can be adapted in a flexible way to capture risk...
Persistent link: https://www.econbiz.de/10010765665
and mortality data for the period 1751-2004 using different time scales. We find that periods with higher temperature are … associated with lower mortality. The results indicate that long term climate variations in annual mean temperatures and not short … term variations explain the connection between temperature and mortality. Considering annual extreme temperatures, we find …
Persistent link: https://www.econbiz.de/10012654336
and mortality data for the period 1751-2004 using different time scales. We find that periods with higher temperature are … associated with lower mortality. The results indicate that long term climate variations in annual mean temperatures and not short … term variations explain the connection between temperature and mortality. Considering annual extreme temperatures, we find …
Persistent link: https://www.econbiz.de/10005644778
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Persistent link: https://www.econbiz.de/10011816708
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if the marginals are close to being independent. We suggest using wavelet estimators to approximate the copula density …
Persistent link: https://www.econbiz.de/10010296689
. Finally, we propose a wavelet volatility estimator which is not only more efficient than a range estimator that is commonly …
Persistent link: https://www.econbiz.de/10010301730
. In contrast, Wavelet based feature selection, for its ability to provide localized frequency information about a function … of a signal, makes it a promising one for efficient classification. Research in this direction states that wavelet based … that problem and able to get a near optimal solution. In this, a hybrid wavelet based radial basis function (RBF) neural …
Persistent link: https://www.econbiz.de/10012047355