  We generalize the 'bits back with ANS' method to time-series models with a
latent Markov structure. This family of models includes hidden Markov models
(HMMs), linear Gaussian state space models (LGSSMs) and many more. We provide
experimental evidence that our method is effective for small scale models, and
discuss its applicability to larger scale settings such as video compression.
