1,683
edits
Changes
Jump to navigation
Jump to search
mLine 71:
Line 71: − +
Finding relations between variables in time series (edit)
Revision as of 03:19, 17 December 2023
, 03:19, 17 December 2023→Reasons time series analysis especially as applied to QS is hard
[https://forum.quantifiedself.com/t/my-baseline-network-physiology-10-days-of-eeg-egg-ekg-cgm-temperature-activity-and-food-logs/5671/19 Wavelet coherence] is one potential solution.
[https://forum.quantifiedself.com/t/my-baseline-network-physiology-10-days-of-eeg-egg-ekg-cgm-temperature-activity-and-food-logs/5671/19 Wavelet coherence] is one potential solution.
Really strong relationships will be detected even through all these problems.
Really strong relationships will be detected even through most of these problems.
[http://www.tylervigen.com/spurious-correlations Spurious Correlations] mostly shows that if two things are trending in one direction and are checked for correlation they will show a very significant correlation. Practice effect is a subset. Another is one instance of an event increases the chances of the same event happening soon after. Economists suggest unit root.
[http://www.tylervigen.com/spurious-correlations Spurious Correlations] mostly shows that if two things are trending in one direction and are checked for correlation they will show a very significant correlation. Practice effect is a subset. Another is one instance of an event increases the chances of the same event happening soon after. Economists suggest unit root.