So I'm trying to model email openings over the course of a day.
For example, I have a data set for one individual that simply has a bunch of time-stamps of when he has opened an email. I don't care about the date, just the time of day.
So over the course of a 24 hour day, there will be events along the time-series (X) axis. I want to model this so that I can plug in a time and it will give me the probability of the event (email opening) occurring at that specific time given the historical data. So the Y axis has no magnitude, it's just an event happened at that specific time or it didn't.
Not sure how to represent this mathematically. Any help would be appreciated!