Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models.
Terrence AlsupTucker HartlandBenjamin PeherstorferNoemi PetraPublished in: Adv. Comput. Math. (2024)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- gibbs sampler
- bayesian models
- variational inference
- prior knowledge
- hidden variables
- variational approximation
- probabilistic modeling
- statistical inference
- markov chain monte carlo
- hyperparameters
- mumford shah functional
- variational bayes
- change detection
- image data
- machine learning