Abstract Background: Arterial geometry variability is inevitable both within and across individuals. To ensure realistic prediction of cardiovascular flows. there is a need for efficient numerical methods that can systematically account for geometric uncertainty. Methods and results: A statistical framework based on Bayesian Gaussian process modeling was proposed for mining data gener... https://www.chiggate.com/devacurl-arc-angel-gel-maximum-hold-no-crunch-styler-32oz-for-cheap/