Alan Gelfand

Markov-modulated Marked Poisson Processes for Check-in Data

We develop continuous-time probabilistic models to study trajectory data consisting of times and locations of user “check-ins”. We model the data as realizations of a marked point process, with intensity and mark-distribution modulated by a latent Markov jump process (MJP). We also include user-hete…