Software for data-based stochastic programming using bootstrap estimation
In this paper we describe software for stochastic programming that uses only sampled data to obtain both a consistent sample-average solution and a consistent estimate of confidence intervals for the optimality gap using bootstrap and bagging. The underlying distribution whence the samples come is not required. Article Download View Software for data-based stochastic programming using … Read more