We address the problem of selecting which variables should be included in the fixed and random components of logistic mixed effects models for correlated data. A fully Bayesian variable selection is ...

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

The importance of having improved bounds is illustrated through a non-linear programming problem with stochastic objective function, known as the "wait and see" problem.