Time Series Models for Discrete Variables
Peter Congdon · Wiley series in probability and statistics · 2005
This chapter contains sections titled: Introduction: time dependence in observations and latent data Observation-driven dependence Parameter-driven dependence via DLMs Parameter-driven dependence via autocorrelated error models Integer autoregressive models Hidden Markov models Exercises References