Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference
连接预测与归因：利用同化因果推理识别正向与反向因果影响范围
机构 * Department of Mathematics, University of Wisconsin-Madison（威斯康星大学麦迪逊分校数学系）
AI总结 本文利用同化因果推理，构建正向与反向因果影响范围的数学公式，提出客观鲁棒的度量与高效近似算法，为探测复杂动力学系统提供新方法，在地球系统等领域具应用价值。
Comments 66 pages (Main Text pp. 3--36; Appendix pp. 36--57), 11 figures (1 Graphical Abstract, 8 in Main Text, 2 in Appendix). Submitted for peer-review to Physica D: Nonlinear Phenomena. The MATLAB code used in the analyses and to generate the figures in this work can be found in https://github.com/marandmath/FBCIR_code . For further details visit https://mariosandreou.short.gy/FBCIR
