Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap.
Edwin FongSimon LyddonChris C. HolmesPublished in: ICML (2019)
Keyphrases
- posterior distribution
- markov chain monte carlo
- posterior probability
- metropolis hastings
- bootstrap sampling
- probability distribution
- latent variables
- bayesian inference
- random sampling
- data driven
- bayesian framework
- multi modal
- bayesian modeling
- monte carlo
- hierarchical bayesian
- proposal distribution
- sampling algorithm
- parameter estimation
- hyperparameters
- decision trees
- gaussian process
- pixel wise
- hypothesis tests
- highly scalable
- cross validation
- kernel density estimation
- multimodal interaction
- kernel density estimator
- particle filter
- multimedia
- contingency tables
- sampling methods
- bayesian networks
- parametric models
- ensemble methods
- maximum a posteriori