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Finding relations between variables in time series (edit)
Revision as of 01:36, 17 February 2022
, 01:36, 17 February 2022wavelet coherence! now I can stop complaining that this is hard! maybe
== Reasons time series analysis especially as applied to QS is hard ==
== 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.
[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.