Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories.
Gian Marco VisaniAlexandra Hope LeeCuong NguyenDavid M. KentJohn B. WongJoshua T. CohenMichael C. HughesPublished in: MLHC (2021)
Keyphrases
- hidden markov models
- hidden semi markov models
- speech recognition
- variable duration
- markov models
- maximum likelihood
- viterbi algorithm
- markov model
- moving objects
- hidden states
- handwritten word recognition
- sequential data
- gesture recognition
- conditional random fields
- hierarchical hidden markov model
- semi markov
- abnormality detection
- hidden state
- bayesian inference
- handwritten words
- random effects
- phoneme recognition
- image sequences
- speech signal
- dynamic probabilistic networks
- continuous hidden markov models