directed acyclic graph


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directed acyclic graph

(DAG) A directed graph containing no cycles. This means that if there is a route from node A to node B then there is no way back.
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Based on the data-driven method of directed acyclic graphs for structural identification of contemporaneous causal links, we examined the impulse responses of the 10-year government bond interest rate to fiscal shocks.
If G is a directed acyclic graph with variable set V, X and Y are in V, and Z is also in V, then G linearly implies the correlation between X and Y conditional on Z being zero if and only if X and Y are d-separated given Z.
To this end, we employ directed acyclic graphs (DAGs) (Spirtes, Glymour, and Scheines 1993), which enable us to assess this issue in a dynamic manner.
It is found that after the final augmentation, the original graph turns into a directed acyclic graph (DAG).
Performance is evaluated through experiments with randomly generated Directed Acyclic Graphs (DAG) and experiments results show better solution compared with existing methods.
Caption: Directed acyclic graphs helped researchers pinpoint areas where bias related to recruitment and participation may have affected the Normative Aging Study and similar studies.
Building on recent advances in statistical analysis of causal modeling using directed acyclic graphs (DAGs) as in Spirtes et al.
Causality and Price Discovery: An Application of Directed Acyclic Graphs.
Directed acyclic graphs (DAGs) are tools that are employed with increasing frequency in epidemiology for encoding subject matter knowledge, guiding data collection, verifying identifiability, and informing analysis (Greenland et al.
OBJECTIVES: We applied directed acyclic graphs (DAGs) to the topic of heat-related mortality to graphically represent the subject matter behind the research questions and to provide insight on the analytical options available.
For the purpose of automatic differentiation (AD) [9], the numerical programs are represented by directed acyclic graphs (DAG) with elemental partial derivatives as edge labels.
We applied eight candidate true causal scenarios, depicted by directed acyclic graphs, to illustrate the ramifications of misspecification of underlying assumptions when interpreting results.