Abstract
AbstractIn linear modelling nonparametric quantities such as the autocorrelation and spectrum are important. In this chapter the limitations of these concepts in a nonlinear context are highlighted, and it is shown that the conditional mean and the conditional variance can be more useful. The difference between local and global dependence is described. The copula (a global dependence measure) as well as a new local dependence measure are mentioned.
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