also demonstrate that the two time-domain estimators have the smallest bias and mean squared error as estimators of the …

component analysis, functional principal component regression, and bootstrap in functional principal component regression …

different forms of the bootstrap for functional data and use these to demonstrate the workings of our theoretical results. …

in inequality over time, between and within the various subgroups is studied, and the bootstrap method is used to …

correlation estimates, using the bootstrap method for statistical inference. The results indicate that there exist rich dynamic …

This paper investigates the accuracy of bootstrap-based inference in the case of long memory fractionally integrated … produce the bootstrap draws are captured by an autoregressive approximation. Application of the sieve method to data pre … experimental setting. The pre-filtered version of the bootstrap is shown to avoid the distinct underestimation of the sampling …