Marginal distributions are not characteristic properties of a multivariate distribution
Many joint distributions may have the same set of marginals. For example : ...
The marginal distribution P(Xn) is the distribution over states at time n. The initial distribution is P(X0). The evolution of the process through one time step is described by ...
Univariate Marginal Distribution Algorithm (UMDA)
Estimation of Multivariate Normal Algorithm (EMNA)
Mutual Information Maxminization for Input Clustering (MIMIC)
Bivariate Marginal Distribution Algorithm (BMDA) ...
events corresponding to assignments to subsets of variables governed by marginal distributions of the form Pr(X_i,Parents(X_i)). Lam and Bacchus show that C(P,Q) is a monotonically decreasing function of sum_{i=1 : Parents(X_i) ! ...
Here's where you can review things like Expectations, Covariance Matrices, Independence, Marginal Distributions and Conditional Distributions.
 See also: Distribution, Density, Variance, Independence, Covariance
  
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