Taking causal inference to the extreme!
-
Updated
Dec 17, 2024 - Julia
Taking causal inference to the extreme!
Regime-adaptive ensemble learning for stock market forecasting with HMM-based market regime detection and FinBERT sentiment fusion. Published at ICCICT 2026.
401k_verification, the C program simulates and analyses a 401K dataset, implementing the B-Learner method to estimate bounds for the Conditional Average Treatment Effect (CATE).
Add a description, image, and links to the metalearner topic page so that developers can more easily learn about it.
To associate your repository with the metalearner topic, visit your repo's landing page and select "manage topics."