Chang, Christopher C.; Politis, Dimitris N. - In: Statistics & Probability Letters 81 (2011) 6, pp. 652-661
We consider finite-order moving average and nonlinear autoregressive processes with no parametric assumption on the error distribution, and present a kernel density estimator of a bootstrap series that estimates their marginal densities root-n consistently. This is equal to the rate of the best...