I'm trying to build a MCMC model to simulate a changing beavior over time. I have to simulate one day with a time interval of 10-minutes. I have several observations of one day from N users in 144 intervals. So I have `U_k=U_1,...,U_N` U users with k ranging from 1 to N and for each user I have `X_i=X_1,...X_t` samples. Each user has two possible states, 1 and 0. I have understood that I have to build a transition probability matrix for each time step and then run the MCMC model. Is it right? But I did not understood how to build it in pyMC can anybody provided me suggestion?