Ten lectures on wavelets
Change-point detection in long-memory processes
Journal of Multivariate Analysis
Computational Statistics & Data Analysis
Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models
Computational Statistics & Data Analysis
Hi-index | 0.00 |
We consider testing for discontinuities in a trend function when the residual process exhibits long memory. Using a wavelet decomposition of the estimated trend function into a low-resolution and a high-resolution component, a test statistic is proposed based on blockwise resampling of estimated residual variances. Asymptotic validity of the test is derived. A simulation study illustrates finite sample properties.