1 citations · 2 across the 4 of their papers we have counts for
4 papers
Robust Causal Discovery under Imperfect Structural Constraints
Zidong Wang, Xi Lin, Chuchao He +1
Robust causal discovery from observational data under imperfect prior knowledge remains a significant and largely unresolved challenge. Existing methods typically presuppose perfec…
Causality-Inspired Models for Financial Time Series Forecasting
Daniel Cunha Oliveira, Yutong Lu, Xi Lin +2
We introduce a novel framework to financial time series forecasting that leverages causality-inspired models to balance the trade-off between invariance to distributional changes a…
Combining experimental and observational data through a power likelihood
Xi Lin, Jens Magelund Tarp, Robin J. Evans
Randomized controlled trials are the gold standard for causal inference and play a pivotal role in modern evidence-based medicine. However, the sample sizes they use are often too…
Strategy to select most efficient RCT samples based on observational data
Wenqi Shi, Xi Lin
Randomized experiments can provide unbiased estimates of sample average treatment effects. However, estimates of population treatment effects can be biased when the experimental sa…