Scalable kernel two-sample tests via empirical likelihood and jackknife.
Qian WenMingao YuanPublished in: Commun. Stat. Simul. Comput. (2023)
Keyphrases
- small sample
- confidence intervals
- null hypothesis
- kernel function
- kernel methods
- sample size
- machine learning
- highly scalable
- maximum likelihood
- support vector
- theoretical analysis
- kernel regression
- lightweight
- posterior probability
- convolution kernel
- feature space
- empirical data
- multiple choice
- kernel space
- sample points
- mutual subspace method
- positive definite
- kernel machines
- kernel density estimation
- kernel learning
- kernel matrix
- gaussian processes
- high dimensional
- pairwise
- bayesian networks