Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields.
Shahar Z. KovalskyGuy CohenJoseph M. FrancosPublished in: IEEE Trans. Inf. Theory (2011)
Keyphrases
- maximum likelihood estimates
- random variables
- parameter settings
- parameters estimation
- maximum likelihood estimator
- sample set
- neural network
- density distribution
- continuous valued
- data distribution
- robust estimation
- accurate estimation
- noisy environments
- kernel density
- random samples
- noise free
- estimation accuracy
- power law
- uniformly distributed
- parametric models
- gaussian distribution
- sample size
- probability distribution
- reinforcement learning