Machine Learning › AI Causal Machine Learning Research
Causal Inference for Time Series and Sequential Data
Interns will research causal inference methods applied to temporal and sequential data, including Granger causality, vector autoregression, and time-series causal discovery. They will implement algorithms to detect dynamic causal relationships and handle temporal dependencies in observational data.
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