JMASM10: A Fortran Routine For Sieve Bootstrap Prediction Intervals

Abstract

A Fortran routine for constructing nonparametric prediction intervals for a general class of linear processes is described. The approach uses the sieve bootstrap procedure of Bühlmann (1997) based on residual resampling from an autoregressive approximation to the given process.