Bayesian-combined wavelet regressive modeling for hydrologic time series forecasting
Wavelet regression (WR) models are used commonly for hydrologic time series forecasting, but they could not consider uncertainty evaluation. In this paper the AM-MCMC (adaptive Metropolis-Markov chain Monte Carlo) algorithm was employed to wavelet regressive modeling processes, and a model called AM...
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Veröffentlicht in: | Chinese science bulletin 2013-11, Vol.58 (31), p.3796-3805 |
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