I have a real world project in the following scenario: I have a predefined network skeleton in DAG format. Our dataset has 1654 nodes, 2965 edges. I also have a dataset with shape (3000, 1654). Among ...

A year ago today, a violent storm struck the coast of the sleepy Sicilian fishing village of Porticello. High winds and dramatic thunder and lightning are not unheard of around this time of year in ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...

Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...

Relay protection rejection and misoperation exist in the existing distribution network, which will affect the fault diagnosis results. To diagnose faults in distribution networks, this paper presents ...

Abstract: A virtual example is an artificial example that does not exist in the given training set. We sample a virtual example from a Bayesian network constructed with the original training set. The ...