The presentation will introduce the DACM (Dimensional Analysis Conceptual Modeling) approach as a way to represent an engineering problem in the form of oriented colored graphs. The foundations of the ...

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 ...

Background Empirical researchers working with observational data have been slow to adopt modern statistical methods for causal inference, which remain poorly recognised among applied quantitative ...

Table 2: Advanced reset tree structural issues. Conclusion As SoC designs become more complex, the need for robust reset tree verification has never been greater. Early verification of the reset tree ...

The DoT framework enhances reasoning capabilities in large language models by modeling iterative reasoning as a directed acyclic graph within a single LLM. It incorporates natural language critiques ...

A directed acyclic graph (DAG) is a tool for modeling and visualizing complex workflows when task dependencies are important. This type of dependency graph can be used to identify which tasks have to ...

FCI outputs a Partial ancestral graph (PAG) whereas DoWhy expects a standard directed acyclic graph (DAG). You will need to convert your PAG to a simple graph with directed edges.

Recent clinical trials in oncology have used increasingly complex methodologies, such as causal inference methods for intercurrent events, external control, and covariate adjustment, posing challenges ...