Approximating Inverse Cumulative Distribution Functions to Produce Approximate Random Variables.
Michael B. GilesOliver Sheridan-MethvenPublished in: ACM Trans. Math. Softw. (2023)
Keyphrases
- random variables
- distribution function
- cumulative distribution functions
- graphical models
- probability distribution
- stochastic optimization problems
- joint distribution
- bayesian networks
- corneal endothelium
- latent variables
- conditional probabilities
- probability density
- independent and identically distributed
- marginal distributions
- joint probability distribution
- probabilistic model
- linear combination
- cost function