Assessing the effective sample size for large spatial datasets: A block likelihood approach.
Jonathan AcostaAlfredo AlegríaFelipe OsorioRonny O. VallejosPublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- sample size
- small sample
- model selection
- covariance matrix
- statistical tests
- random sampling
- small samples
- finite sample
- small sample size
- pac learning
- number of training samples
- upper bound
- random samples
- statistical power
- statistical hypothesis testing
- progressive sampling
- vc dimension
- variance reduction
- experimental design
- confidence intervals
- worst case
- random sample
- feature extraction
- generalization error
- special case