Smart data analysis strategies can help tech teams dig down to the root cause(s) behind problems and create robust, sustainable solutions.

Background Cigarette smoking continues to be a leading cause of preventable deaths in the USA, in part because the USA has not adopted the WHO Framework Convention on Tobacco Control. One way the ...

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Large Language Models (LLMs) have recently been used as experts to infer causal graphs, often by repeatedly applying a pairwise prompt that asks about the causal relationship of each variable pair.

Here are the Fantasy Cricket Predictions and Betting Tips for ECS Portugal, Challenger 2025: Match 21-25, to be played on March 26th, at Santarem Cricket Ground, Santarem. ECS Portugal Challenger ...

Directed acyclic graphs are commonly used to illustrate and assess the hypothesised causal mechanisms in health and social research. These graphs can illuminate investigators’ assumptions and help ...

Abstract: Despite significant advancements in causal research on graphs and its application to cracking label imbalance, the role of edge features in detecting the causal effects within graphs has ...

The second stage utilizes these matrices in an iterative process for Granger causality discovery, refining the predicted causal graph while improving forecasting accuracy. The proposed method ...

The final 13 covariates were treated as nodes in the DBN analysis, allowing for the modeling of temporal dependencies and causal relationships among influential variables (Table 1). This study created ...