GPMatch: A Bayesian causal inference approach using Gaussian process covariance function as a matching tool.
Bin HuangChen ChenJinzhong LiuSiva SivaganisanPublished in: Frontiers Appl. Math. Stat. (2023)
Keyphrases
- gaussian process
- covariance function
- gaussian processes
- gaussian process regression
- model selection
- approximate inference
- regression model
- expectation propagation
- bayesian framework
- hyperparameters
- semi supervised
- latent variables
- bayesian methods
- non stationary
- bayesian inference
- posterior distribution
- bayesian networks
- cross validation
- pairwise