Approximating inverse cumulative distribution functions to produce approximate random variables.
Oliver Sheridan-MethvenMichael GilesPublished in: CoRR (2020)
Keyphrases
- random variables
- distribution function
- cumulative distribution functions
- graphical models
- probability distribution
- latent variables
- stochastic optimization problems
- joint distribution
- bayesian networks
- corneal endothelium
- independent and identically distributed
- random vectors
- marginal distributions
- image processing
- conditional probabilities
- model selection
- joint probability distribution
- denoising
- probabilistic model