Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...
The invariant polynomials Cφ κ 1,...,κ r (X1,...,Xr) (Davis [8] and Chikuse [2] with r (r ≥ 2) symmetric matrix arguments have been defined, extending the zonal ...
Abstract. We present a nonparametric approach based on local polynomial regression for ensemble forecast of time series. The state space is first reconstructed by embedding the univariate time series ...
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