Gustavo Ulloa

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In this paper we present the construction of prediction intervals for time series based on the sieve bootstrap technique, which does not require the distributional assumption of normality that most parametric techniques impose. The construction of prediction intervals in the presence of innovation outliers does not have distributional robustness, leading to(More)
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