Scalable Time-Series Causal Discovery with Approximate Causal Ordering

Ziyang Jiao, Ce Guo, Wayne Luk

Causal discovery in time-series data presents a significant computational challenge. Standard algorithms are often prohibitively expensive for datasets with many variables or sampl…