Robust Time Series Causal Discovery for Agent-Based Model Validation
面向智能体模型验证的鲁棒时间序列因果发现
AI总结 本研究提出鲁棒交叉验证方法，用于提升智能体模型验证中因果结构学习的鲁棒性和准确性。
Comments A peer-reviewed version titled "VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery" is accepted to Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2026. Please cite the PAKDD version
