… regime shifts is likely to find them in Gaussian, red noise with stationary statistics. Detection
of a shift by this … processes leading to bi-stable behavior or any other meaningful regime shift. …

… AR1 red noise model, an alternate long memory red noise model, and a periodic model in the
spirit of a strict interpretation of regime shifts… The viability of the red noise formulations also …

… a procedure of red noise removal from a time series with potentially “true” regime shifts. After
this “prewhitening,” the time series can be processed with any regime shift detection method…

… white noise (black line with approximately constant power at all frequencies); the resulting
ocean physical response is red-shifted (… broad-band, physical red noise spanning from days to …

… a procedure of red noise removal from a time series with potentially “true” regime shifts. After
this “prewhitening,” the time series can be processed with any regime shift detection method…

… Time series medians (black lines) and 10th and 90th percentiles (gray lines) for each
group during the high noise simulations with noise exponent β = 1.6 (red noise). The vertical …

… The term regime shift was originally confined to spatial or temporal correspondences between
climatic indices and population abundance. The body of … Red noise and regime shifts …

… The term red noise and red-shifted noise have been coined for noise with positive
autocorrelation, which results in a dominance of low frequencies in the spectral decomposition of the …

… white, pink, and red noise each of which is realized for three noise levels σ = {0.1, 2.2, 4.5}.
The data are evaluated in windows of 750 data points that are shifted by 30 points per step …

… of a regime shift, it would increase the confidence that the shift … a regime shift at i = j is reflected
in the value of the regime shift … observed regimes are realizations of a Gaussian, red noise …