I am trying to build a probability model for the following situation:
I have a very large dataset, whose rows are users and columns are the features.
All the users visit a particular store X (once or more) over a period of 14 days. We have an indicator variable (column), which denotes the store visits for each user.
My goal is to compute the probability distribution of the inter-visit intervals for each user/group of users.
I initially thought of “Survival Analysis”, where “visiting store X” will be equivalent to a “death” event. However, then I realized that there might be several such “death” events for each user.
Hence my confusion: Should this be a “Survival Analysis” type of problem? Or, is this a “Frailty Model” problem? Or, something else?
Thanks and regards,