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directions are linked through a 2m-dimensional copula. The approach is detailed in the case of a bivariate decomposition. We …
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We consider time series forecasting in the presence of ongoing structural change where both the time-series dependence and the nature of the structural change are unknown. Methods that downweight older data, such as rolling regressions, forecast averaging over different windows and exponentially...
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