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stat.ME2025
Conditional Local Independence Testing for Itô processes with Applications to Dynamic Causal Discovery
Mingzhou Liu, Xinwei Sun, Yizhou Wang
Inferring causal relationships from dynamical systems is the central interest of many scientific inquiries. Conditional local independence, which describes whether the evolution of…
stat.ME2023
The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation
Yong Wu, Mingzhou Liu, Jing Yan +4
Assessing causal effects in the presence of unobserved confounding is a challenging problem. Existing studies leveraged proxy variables or multiple treatments to adjust for the con…
stat.ME2023
Causal Discovery via Conditional Independence Testing with Proxy Variables
Mingzhou Liu, Xinwei Sun, Yu Qiao +1
Distinguishing causal connections from correlations is important in many scenarios. However, the presence of unobserved variables, such as the latent confounder, can introduce bias…