论文标题
随机运输的路径参数化
A pathwise parameterisation for stochastic transport
论文作者
论文摘要
在这项工作中，我们为一种新的概率路线方法奠定了基础，以有效校准一类随机非线性流体动力学模型。我们专注于2D Euler盐方程，表明可以以最佳方式校准驱动随机参数以匹配一组给定数据。此外，我们表明该模型相对于随机参数是可靠的。
In this work we set the stage for a new probabilistic pathwise approach to effectively calibrate a general class of stochastic nonlinear fluid dynamics models. We focus on a 2D Euler SALT equation, showing that the driving stochastic parameter can be calibrated in an optimal way to match a set of given data. Moreover, we show that this model is robust with respect to the stochastic parameters.
