Best Asymptotic Normality of the Kernel Density Entropy Estimator for Smooth Densities.
Paul P. B. EggermontVincent N. LaRicciaPublished in: IEEE Trans. Inf. Theory (1999)
Keyphrases
- kernel density
- mean shift
- rates of convergence
- hidden markov models
- confidence intervals
- least squares
- central limit theorem
- probability density function
- maximum likelihood
- worst case
- normal distribution
- particle filter
- graph cuts
- search space
- expected values
- large deviations
- importance sampling
- laplace transform
- unbiased estimator
- regression function
- neuro fuzzy
- error estimation
- asymptotically optimal
- smoothness constraint
- estimation error
- machine learning
- maximum a posteriori
- information theoretic
- probability distribution
- feature space
- bayesian networks