Large deviations for stochastic flows of diffeomorphisms
Large deviations for stochastic flows of diffeomorphisms
复制标题
DOI：
10.3150/09-bej203
复制
发表时间：
2010-02
期刊：
影响因子：
1.5
通讯作者：
A. Budhiraja;P. Dupuis;V. Maroulas
中科院分区：
文献类型：
--
作者：
A. Budhiraja;P. Dupuis;V. Maroulas
翻译后摘要：一个大偏差原则，建立了一般类的随机流在小噪声限制。这个结果，然后应用到贝叶斯公式的图像匹配问题，并显示一个近似的最大似然属性的解决方案的优化问题，涉及大偏差率函数。
Abstract : A large deviation principle is established for a general class of stochastic flows in the small noise limit. This result is then applied to a Bayesian formulation of an image matching problem, and an approximate maximum likelihood property is shown for the solution of an optimization problem involving the large deviations rate function.