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Finding relations between variables in time series (edit)
Revision as of 21:27, 30 March 2024
, 30 March→Reasons time series analysis especially as applied to QS is hard
Build up. What if it takes two days of eating pizza to cause heartburn?
Build up. What if it takes two days of eating pizza to cause heartburn?
Rate of change. Opposite of build up; derivative instead of integral.
Bin. Window. Smooth. Variables only make domain sense as aggregate over some time. Variables have a really high sampling rate.
Bin. Window. Smooth. Variables only make domain sense as aggregate over some time. Variables have a really high sampling rate.
Cycles decomposition using a model like ARIMA. Ex. kayak season is in the summer or lunch is at exactly 1pm.
Cycles decomposition using a model like ARIMA. Ex. kayak season is in the summer or lunch is at exactly 1pm.
Detection of repeated shapes implying similar events that are not cyclical; like dinner is anywhere between 4pm and 10pm and causes a particular 2 hour spike in glucose.
Detection of repeated shapes implying similar events that are not cyclical; like dinner is anywhere between 4pm and 10pm and causes a particular 2 hour spike in glucose.
== References ==
== References ==
[[Category:Data analysis]]
[[Category:Data analysis]]