Autoregressive-aided periodogram bootstrap for time series

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TFT-bootstrap: Resampling time series in the frequency domain to obtain replicates in the time domain (2011, methodology): “In the last two decades, in particular, resampling methods in the frequency domain have become increasingly popular (see Paparoditis [41] for a recent survey).”
Generating artificial light curves: revisited and updated (2013, methodology): “Useful analyses on this topic have been performed by several authors (e.g. Franke & Härdle 1992; Dahlhaus & Janas 1996; Kreiss & Paparoditis 2003). light curves having different bending PSDs, xG(t) and yG(t), 200 ks long with a bin size ∆t = 100 s, using the same random seed (in order to be…”
A self‐normalized approach to confidence interval construction in time series (2010, unknown): “s proposed all involve a choice of a smoothing parameter, for which no theoretical or empirical guidance has been given. Other works that avoid direct estimation include Dahlhaus and Janas (1996) and Kreiss and Paparoditis (2003) on the frequency domain bootstrap method (Franke and H¨ardle 1992) and”
On the range of validity of the autoregressive sieve bootstrap (2012, methodology): “This however, follows exactly along the same lines as in the proof of Theorem 5.1 in Kreiss and Paparoditis (2003), again without the additional nonparametric correction considered therein.”