Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods

► Bayesian variable selection problem for the generalized linear models is visited. ► We proposed a heuristic, combining three well known optimization algorithms. ► Proposed algorithm achieves improved performance when compared to other algorithms.