Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes
{{output}}
Statistical modeling of temporal point patterns is an important problem in several areas. The Cox process, a Poisson process where the intensity function is stochastic, is a common model for such data. We present a new class of unidimensional Cox process model... ...
