Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.
Alejandro Nieto RamosFlavio H. FentonElizabeth M. CherryPublished in: Medical Biol. Eng. Comput. (2023)
Keyphrases
- bayesian inference
- monte carlo
- probabilistic model
- markov chain monte carlo
- monte carlo simulation
- particle filter
- bayesian models
- variational inference
- statistical inference
- gibbs sampler
- prior distribution
- expectation propagation
- prior information
- monte carlo methods
- importance sampling
- hyperparameters
- bayesian model
- hidden variables
- markov chain
- matrix inversion
- hierarchical bayesian
- exponential family
- bayesian framework
- variational approximation
- generative model
- policy evaluation
- particle filtering
- point processes
- bayesian networks
- markovian decision
- latent variables
- probability distribution
- posterior distribution
- maximum a posteriori
- random variables
- topic models
- parameter estimation
- monte carlo tree search
- least squares
- dynamic programming