An MGF-Based Unified Framework to Determine the Joint Statistics of Partial Sums of Ordered i.n.d. Random Variables.
Sung Sik NamHong-Chuan YangMohamed-Slim AlouiniDong In KimPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- random variables
- unified framework
- graphical models
- probabilistic model
- probability distribution
- latent variables
- conditional independence
- test statistic
- bayesian networks
- distribution function
- additive noise
- joint distribution
- normal distribution
- stochastic optimization problems
- probability density
- conditional probabilities
- marginal distributions
- probabilistic graphical models
- independent and identically distributed
- statistically independent
- conditional distributions
- random vectors
- computer vision
- lead time
- wavelet transform
- conditional distribution
- image processing
- joint probability distribution