The RKHS Approach to Minimum Variance Estimation Revisited: Variance Bounds, Sufficient Statistics, and Exponential Families.
Alexander JungSebastian SchmutzhardFranz HlawatschPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- minimum variance
- sufficient statistics
- exponential family
- hidden variables
- density estimation
- estimation error
- data points
- k means
- reproducing kernel hilbert space
- em algorithm
- parameter estimation
- graphical models
- kernel methods
- latent variables
- lower bound
- mixture model
- maximum likelihood
- evolutionary algorithm
- expectation maximization
- closed form
- feature selection
- missing values
- probability density function
- incomplete data
- prior knowledge
- bayesian networks
- training data