Information-Theoretic Aspects of Location Parameter Estimation under Skew-Normal Settings.
Javier E. Contreras-ReyesPublished in: Entropy (2022)
Keyphrases
- parameter estimation
- information theoretic
- mutual information
- information theory
- theoretic framework
- maximum likelihood
- model selection
- statistical models
- least squares
- markov random field
- parameter estimation algorithm
- random fields
- information theoretic measures
- jensen shannon divergence
- information bottleneck
- entropy measure
- log likelihood
- expectation maximization
- em algorithm
- structure learning
- posterior distribution
- kullback leibler divergence
- relative entropy
- estimation problems
- approximate inference
- kl divergence
- image processing
- markov chain monte carlo
- parameter estimates
- machine learning
- maximum a posteriori
- similarity measure