The identification of critical fluctuations and phase transitions in short term and coarse-grained time series—a method for the real-time monitoring of human change processes

RT @Heinonmatti: @FredHasselman @otrasenda_AC @OlthofMerlijn @krstoffr @AlxEtz @AlexanderLyNL This may just be Very Wrong, but sounds to me…

@FredHasselman @otrasenda_AC @OlthofMerlijn @krstoffr @AlxEtz @AlexanderLyNL This may just be Very Wrong, but sounds to me that dynamic complexity (https://t.co/MhEwuB7ymb) and fisher information (https://t.co/C8EFQ8693w) are indicators of the same thing;

@otrasenda_AC @Heinonmatti @OlthofMerlijn @krstoffr @AlxEtz @AlexanderLyNL Studying how moments change is the realm of fluctuation/scaling analysis like (multi-fractal) Detrended Fluctuation Analysis and the Dynamic Complexity measure. https://t.co/60Thvd

@CharlesDriverAU @FredHasselman Theoretically, dynamic complexity is very different from variance. In practice, it is often not so different. Dynamic complexity is not very sensitive to a gradient. This article has a lot of info: https://t.co/tGdPODEope

Using multilevel event-history models we show that peaks in Dynamic Complexity derived from multivariate time-series (https://t.co/u0oJ6SkzuQ) predict sudden gains & losses in symptom severity in a 4-day window in patients with mood disorders (N=382).

@aidangcw @Heinonmatti @tkaiser_science @ltoddrose @jz_psych You are looking for the idiographic approach to psychology/psychiatry! Don’t re-invent the wheel, stand on shoulders of peers (they might be giants): https://t.co/I7PWmOFVAO https://t.co/2Zmu7