Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization.
A. Demetri PananosDaniel J. LizottePublished in: MLHC (2020)
Keyphrases
- monte carlo
- maximum a posteriori
- bayesian model
- posterior distribution
- bayesian framework
- map estimation
- markov random field
- image reconstruction
- hyperparameters
- maximum likelihood
- markov chain monte carlo
- markov chain
- expectation maximization
- em algorithm
- energy function
- bayesian inference
- latent variables
- generalized gaussian
- gaussian process
- posterior probability
- parameter estimation
- probability distribution
- prior knowledge
- particle filter
- image processing
- conditional probabilities
- graph cuts
- probabilistic model
- pairwise