A CVAE-within-Gibbs sampler for Bayesian linear inverse problems with hyperparameters.
Jingya YangYuanling NiuQingping ZhouPublished in: Comput. Appl. Math. (2023)
Keyphrases
- hyperparameters
- posterior distribution
- bayesian inference
- model selection
- cross validation
- closed form
- bayesian framework
- support vector
- em algorithm
- prior information
- random sampling
- maximum a posteriori
- noise level
- gaussian process
- maximum likelihood
- incremental learning
- sample size
- incomplete data
- probability distribution
- markov chain monte carlo
- parameter space
- expectation maximization
- missing values
- prior knowledge
- parameter estimation
- posterior probability
- parameter settings
- feature selection
- dynamic programming
- wavelet transform
- training set
- generative model