Alonso, Andrés M.; Peña, Daniel; Romo, Juan - In: Statistics & Probability Letters 65 (2003) 1, pp. 13-20
In this paper we consider a sieve bootstrap method for constructing nonparametric prediction intervals for a general class of linear processes. We show that the sieve bootstrap provides consistent estimators of the conditional distribution of future values given the observed data.