#StackBounty: #time-series #distributions #python #change-point Time series analysis with recurring event (python)

Bounty: 50

I Have a vector of n values and I have event that occurs occasionally throughout this vector.
So I have

V1 = [300, 120, 450, 700, 880, 400, 100, 60, 44, 91]

and the indexes of the start and end of the event.
So indexes = [(2,4)] means that the event start at position #2 (when the value was 450) and ended at 4 (when the value was 880).

I want to check if there is a significance difference in v1 when event happens, meaning wether [450, 700, 880] has different distribution and higher mean then the rest of v1.

What is the best way to do this?

Get this bounty!!!

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