SIAM-ASA Journal on Uncertainty Quantification

SIAM/ASA Journal on Uncertainty Quantification (JUQ) publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification, defined as the interface of complex modeling of processes and data, especially characterizations of the uncertainties inherent in the use of such models. The journal also focuses on related fields such as sensitivity analysis, model validation, model calibration, data assimilation, and code verification. The journal also solicits papers describing new ideas that could lead to significant progress in methodology for uncertainty quantification as well as review articles on particular aspects. The journal is dedicated to nurturing synergistic interactions between the mathematical, statistical, computational, and applications communities involved in uncertainty quantification and related areas. JUQ is jointly offered by SIAM and the American Statistical Association.

SIAM/ASA《不确定性量化期刊》(JUQ)发表研究文章，介绍不确定性量化方面的重要数学、统计、算法和应用进展，定义为过程和数据的复杂建模的接口，特别是使用这些模型固有的不确定性的特征。该杂志还关注相关领域，如敏感性分析、模型验证、模型校准、数据同化和代码验证。该杂志还征集论文，描述可能导致不确定性量化方法取得重大进展的新想法，并就特定方面发表评论文章。该杂志致力于培养数学、统计、计算和应用社区之间的协作互动，涉及不确定性量化和相关领域。JUQ由暹罗和美国统计协会联合提供。