instrumental variables estimation
PulseAugur coverage of instrumental variables estimation — every cluster mentioning instrumental variables estimation across labs, papers, and developer communities, ranked by signal.
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New PAC-Causal Learnability Framework Formalizes Finite-Sample Guarantees
Researchers have introduced PAC-Causal Learnability (PACC), a new framework that formalizes uniform accuracy-confidence guarantees for causal models using finite sample sizes. This approach addresses the gap between the…
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New research advances causal discovery with LLMs and novel algorithms · 4 sources tracked
Recent research explores advanced techniques for causal discovery, a field focused on inferring cause-and-effect relationships from data. One paper investigates the assumptions embedded in simulated data used for superv…
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New framework enhances causal inference with reliable uncertainty quantification
Researchers have developed a new framework called Deconditional Gaussian Process (DGP) to improve causal inference methods, specifically instrumental variable (IV) and proximal causal learning (Proxy). This framework ad…