Bias Adjustment for a Nonparametric Entropy Estimator.
Zhiyi ZhangMichael GrabchakPublished in: Entropy (2013)
Keyphrases
- variance reduction
- information theoretic
- nadaraya watson
- density estimators
- density estimation
- kernel regression
- least squares
- mutual information
- information theory
- maximum likelihood
- bias variance
- nonparametric density estimation
- data driven
- kernel density
- nonparametric regression
- maximum a posteriori
- shannon entropy
- information entropy
- sample size
- kernel density estimation
- error estimation
- monte carlo
- variance estimator
- data sets
- recursive least squares
- relative entropy
- importance sampling
- parametric models
- estimation error
- information content
- bayesian modeling
- kernel density estimator
- trade off
- machine learning