... from a non-Gaussian distribution. Designs robust against such short-comings will be introduced. They are slightly less than optimal under ideal conditions but will be more efficient under more realistic conditions. The probability of breakdown of a design is defined. Measures of robustness of a design...

... a general method for evaluating evidence and determining optimal performance. This chapter describes the likelihood approach to signal-detection theory and how to analyze non-Gaussian distributions of evidence. The theory of the ideal observer is extended to Bayesian methods. As it is treated...

... and absolute binding free energies is provided, along with recommendations for optimizing the performance of these methods. The importance of ensemble size for the reliability and reproducibility of simulations is examined, with special attention to non-Gaussian distributions and the impact of ensemble size...