Model selection for identifying power-law scaling.
Robert TonAndreas DaffertshoferPublished in: NeuroImage (2016)
Keyphrases
- model selection
- power law
- cross validation
- scale free
- hyperparameters
- parameter estimation
- bayesian learning
- small world
- mixture model
- regression model
- sample size
- statistical learning
- error estimation
- model selection criteria
- selection criterion
- motion segmentation
- clustering coefficient
- power law distribution
- statistical inference
- variable selection
- machine learning
- generalization error
- long range correlations
- parameter determination
- automatic model selection
- marginal likelihood
- information criterion
- feature selection
- learning algorithm
- degree distribution
- generalization bounds
- conditional random fields