Penalized estimation of flexible hidden Markov models for time series of counts

Timo Adam, Roland Langrock, Christian H. Weiß

Hidden Markov models are versatile tools for modeling sequential observations, where it is assumed that a hidden state process selects which of finitely many distributions generate…