Stochastic comparisons, differential entropy and varentropy for distributions induced by probability density functions.
Antonio Di CrescenzoLuca PaolilloAlfonso Suárez-LlorensPublished in: CoRR (2021)
Keyphrases
- probability density function
- kullback leibler divergence
- probability distribution
- probability density
- class conditional
- kl divergence
- density function
- information theory
- density estimation
- information theoretic
- kernel density estimation
- generalized gaussian
- parzen window
- expectation maximization
- em algorithm
- gaussian mixture
- statistical methods
- mixture model
- mutual information
- bayesian formulation
- gaussian mixture model
- computer vision
- bayesian framework
- low dimensional
- uncertain objects
- machine learning
- gaussian distribution
- semi supervised
- bayesian networks
- information retrieval