One of the well-known challenges in optimal experimental design is how to efficiently estimate nested integrations expected information gain. The Gaussian approximation and associated importance sampling have been shown be effective at reducing numerical costs. However, they may fail due non-negligible biases instabilities. A new approach developed compute gain, when posterior distribution mult...