I am going to model a test track on which bus stops will be put. Since here is the community of pymc users, I thought that I can ask your opinion. I want to construct a hierarchical model for the passenger arrival rate for K major time ineterval for N minor time slots.
Assume that K1 between 13:00 and 14:00 PM, there are 5mins intervals in total of 12 time slots (N).
I am seeking answer for followings;
Arrival rate will be Poisson distribution, and prior conjugate is Gamma. Is this assumption suitable for this kind of problem?
The model above is for single bus stop. Can I extend the hierarchical model to multiple bus stop? Let’s say we have 3 bus stops, K time intervals, N minor time slots. I wonder how can combine all of these in one hierarchical model.