Stop falling for misleading headlines. Understand the difference between correlation and causation, and learn how researchers ...
Sequential causal effect estimation has recently attracted increasing attention from research and industry. While the existing models have achieved many successes, there are still many limitations.
Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...
We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...
We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...
Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...
Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as ...
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