Parameter Estimation of the Cauchy Distribution in Information Theory Approach.
Ferenc NagyPublished in: J. Univers. Comput. Sci. (2006)
Keyphrases
- parameter estimation
- information theory
- maximum likelihood
- information theoretic
- least squares
- jensen shannon divergence
- parameter estimation algorithm
- model selection
- statistical mechanics
- em algorithm
- conditional entropy
- kullback leibler divergence
- statistical learning
- random fields
- statistical models
- markov random field
- maximum likelihood estimation
- posterior distribution
- expectation maximization
- approximate inference
- maximum likelihood estimates
- shannon entropy
- kl divergence
- gaussian distribution
- probability density function
- mutual information
- parameter estimates
- model fitting
- image segmentation
- sample size
- motion estimation
- probability distribution