For multivariate time series driven by underlying states, hidden Markov
...
It is still largely unclear to what extent bettors update their prior
as...
Continuous-time state-space models (SSMs) are flexible tools for analysi...
State-switching models such as hidden Markov models or Markov-switching
...
Ecological systems can often be characterised by changes among a set of
...
Multi-state capture-recapture data comprise individual-specific sighting...
We investigate the potential occurrence of change points - commonly refe...
Hidden Markov models are versatile tools for modeling sequential
observa...
Understanding and predicting how individuals perform in high-pressure
si...
We investigate the hot hand phenomenon in professional darts in a near-i...