Journal Title：International Journal For Uncertainty Quantification

The International Journal for Uncertainty Quantification disseminates information of permanent interest in the areas of analysis, modeling, design and control of complex systems in the presence of uncertainty. The journal seeks to emphasize methods that cross stochastic analysis, statistical modeling and scientific computing. Systems of interest are governed by differential equations possibly with multiscale features. Topics of particular interest include representation of uncertainty, propagation of uncertainty across scales, resolving the curse of dimensionality, long-time integration for stochastic PDEs, data-driven approaches for constructing stochastic models, validation, verification and uncertainty quantification for predictive computational science, and visualization of uncertainty in high-dimensional spaces. Bayesian computation and machine learning techniques are also of interest for example in the context of stochastic multiscale systems, for model selection/classification, and decision making. Reports addressing the dynamic coupling of modern experiments and modeling approaches towards predictive science are particularly encouraged. Applications of uncertainty quantification in all areas of physical and biological sciences are appropriate.

《國際不確定性量化雜志》傳播了在存在不確定性的情況下對復雜系統(tǒng)進行分析、建模、設計和控制等領域的長期關注信息。該雜志力求強調(diào)跨隨機分析、統(tǒng)計建模和科學計算的方法。感興趣的系統(tǒng)由可能具有多尺度特征的微分方程控制。特別感興趣的主題包括不確定性的表示、不確定性在尺度上的傳播、解決維數(shù)災難、隨機偏微分方程的長時間積分、構(gòu)建隨機模型的數(shù)據(jù)驅(qū)動方法、預測計算科學的驗證、確認和不確定性量化以及高維空間中不確定性的可視化。貝葉斯計算和機器學習技術(shù)也很有趣，例如在隨機多尺度系統(tǒng)的背景下，用于模型選擇/分類和決策。特別鼓勵提交關于現(xiàn)代實驗和建模方法與預測科學的動態(tài)耦合的報告。不確定性量化在物理和生物科學的所有領域中的應用都是合適的。

International Journal For Uncertainty Quantification創(chuàng)刊于2011年，由Begell House Inc.出版商出版，收稿方向涵蓋ENGINEERING, MULTIDISCIPLINARY - MATHEMATICS, INTERDISCIPLINARY APPLICATIONS全領域，此期刊水平偏中等偏靠后，在所屬細分領域中專業(yè)影響力一般，過審相對較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機率較高。平均審稿速度 ，影響因子指數(shù)1.5，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。