Geometry of Goodness-of-Fit Testing in High Dimensional Low Sample Size Modelling.
Paul MarriottRadka SabolovaGermain Van BeverFrank CritchleyPublished in: GSI (2015)
Keyphrases
- sample size
- goodness of fit
- small sample size
- high dimensional
- statistical tests
- chi square
- small sample
- confidence intervals
- model selection
- cross entropy
- hyperparameters
- covariance matrix
- progressive sampling
- random sampling
- low dimensional
- worst case
- upper bound
- nearest neighbor
- high dimensional data
- dimensionality reduction
- high dimensionality
- logistic regression
- hypothesis testing
- data structure
- test set
- structure learning
- active learning
- feature space