SIAM/ASA《不確定性量化期刊》(JUQ)發(fā)表研究文章，介紹不確定性量化方面的重要數(shù)學(xué)、統(tǒng)計、算法和應(yīng)用進展，定義為過程和數(shù)據(jù)的復(fù)雜建模的接口，特別是使用這些模型固有的不確定性的特征。該雜志還關(guān)注相關(guān)領(lǐng)域，如敏感性分析、模型驗證、模型校準(zhǔn)、數(shù)據(jù)同化和代碼驗證。該雜志還征集論文，描述可能導(dǎo)致不確定性量化方法取得重大進展的新想法，并就特定方面發(fā)表評論文章。該雜志致力于培養(yǎng)數(shù)學(xué)、統(tǒng)計、計算和應(yīng)用社區(qū)之間的協(xié)作互動，涉及不確定性量化和相關(guān)領(lǐng)域。JUQ由暹羅和美國統(tǒng)計協(xié)會聯(lián)合提供。

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.