Tensor cumulants for statistical inference on invariant distributions.
Dmitriy KuniskyCristopher MooreAlexander S. WeinPublished in: CoRR (2024)
Keyphrases
- statistical inference
- model selection
- bayesian inference
- graphical models
- statistical learning
- higher order
- fourth order
- contingency tables
- high order
- random variables
- probability distribution
- machine learning
- semi parametric
- data sets
- cross validation
- dynamic programming
- statistical methods
- kullback leibler divergence
- databases
- supervised learning
- real world
- diffusion tensor
- feature selection
- affine invariant
- active learning
- density estimation
- probabilistic model
- text classification