Finite Sample Corrections for Parameters Estimation and Significance Testing.
Boon Kin TehDarrell JiaJie TaySai-Ping LiSiew Ann CheongPublished in: Frontiers Appl. Math. Stat. (2018)
Keyphrases
- finite sample
- parameters estimation
- sample size
- statistical learning theory
- parameter estimation
- uniform convergence
- nearest neighbor
- error bounds
- image restoration
- generalization bounds
- model selection
- estimation algorithm
- image segmentation
- support vector machine
- parzen window
- learning theory
- special case
- probabilistic model
- higher order
- maximum likelihood
- statistical learning
- bayesian framework
- theoretical framework
- sufficient conditions
- computationally efficient