Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models.
Jwala DhamalaJohn L. SappMilan HoracekLinwei WangPublished in: IPMI (2017)
Keyphrases
- gaussian process
- markov chain monte carlo
- approximate inference
- fully bayesian
- gaussian processes
- expectation propagation
- model selection
- bayesian framework
- posterior distribution
- hyperparameters
- markov chain
- bayesian inference
- parameter estimation
- latent variables
- particle filter
- cross validation
- semi supervised
- regression model
- machine learning
- simulated annealing
- motion estimation
- training data