Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
Jwala DhamalaHermenegild ArevaloJohn L. SappB. Milan HorácekKatherine C. WuNatalia A. TrayanovaLinwei WangPublished in: Medical Image Anal. (2018)
Keyphrases
- gaussian process
- markov chain monte carlo
- approximate inference
- fully bayesian
- expectation propagation
- bayesian framework
- posterior distribution
- gaussian processes
- hyperparameters
- latent variables
- posterior probability
- parameter estimation
- generative model
- model selection
- regression model
- bayesian inference
- semi supervised
- markov chain
- particle filter
- closed form
- monte carlo
- maximum likelihood
- em algorithm
- maximum a posteriori
- random sampling
- simulated annealing
- probability distribution