 in semidefinite problems involving LMIs, Linear Matrix Inequalities), a deep theoretical analysis has been established which shows that the probability that a new constraint is not satisfied follows a distribution that is dominated by a Beta distribution.This result is tight since it is exact for a whole class of convex problems.More generally, various empirical levels have been shown to follow a Dirichlet distribution, whose marginals are beta distribution.