2017
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
ICML 2017poster
Causal inference among high-dimensional time series data proves an important research problem in many fields. While in the classical regime one often establishes causality among time series via a concept known as “Granger causality,” existing approaches for Granger causal inference in high-dimension…