BACKGROUND AND MOTIVATION: A recent comparison of bootstrap approaches in the estimation of uncertainty of voxelwise DTI parameters such as FA and ADC demonstrated that the application of residual bootstrap (RB) provided an unbiased empirical non-parametric approach to characterizing the parameter uncertainty [1]. Fiber tracking (FT) based on diffusion MR has important applications for structur...

Abstract Traditional approaches for process optimization start by fitting a model and then optimizing the model to obtain optimal operating settings. These methods do not account for any uncertainty in the parameters of the model or in the form of the model. Bayesian approaches have been proposed recently to account for the uncertainty on the parameters of the model, assuming the model form is ...

In this paper we propose a way of determining the subleading corrections to the BekensteinHawking black hole entropy by considering a modified generalized uncertainty principle with two parameters. In the context of modified generalized uncertainty principle, coefficients of the correction terms of black hole entropy are written in terms of combination of the parameters. We also calculate corre...

Uncertainty in parameters is present in many risk assessment problems and leads to uncertainty in model predictions. In this work, we introduce a global sensitivity indicator which looks at the influence of input uncertainty on the entire output distribution without reference to a specific moment of the output (moment independence) and which can be defined also in the presence of correlations a...