Using Geometry to Select One Dimensional Exponential Families That Are Monotone Likelihood Ratio in the Sample Space, Are Weakly Unimodal and Can Be Parametrized by a Measure of Central Tendency.
Paul VosKarim Anaya-IzquierdoPublished in: Entropy (2014)
Keyphrases
- likelihood ratio
- sample space
- exponential family
- hypothesis testing
- graphical models
- similarity measure
- upper bound
- statistical models
- pattern recognition
- feature space
- maximum likelihood
- mixture model
- closed form
- hyperplane
- order statistics
- log likelihood
- markov chain
- density estimation
- machine learning
- reinforcement learning
- feature extraction
- decision trees
- feature selection