Abstract: The node-reliability polynomial nRelG(p) measures the probability that a connected network remains connected given that each node functions independently with probability p. Computing ...
Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
With the introduction of the AAA algorithm in 2018 (Nakatsukasa-Sete-T., SISC), the computation of rational approximations changed from a hard problem to an easy one. We've been exploring the ...
An email from Dr. Kan Shao, a professor at Indiana University School of Public Health, states that EPA’s current version of Benchmark Dose Software modeling is “extremely misleading and not ...
LApprox.py is the only file required to run this package, though we include a Likelihood_Functions.py file for convenience. This project was designed for the purpose of calculating the Laplace ...
Creating 3D models provides a more immersive and realistic representation of scenes than 2D images. They allow viewers to explore and interact with the scene from different angles, providing a better ...
ABSTRACT: This work presents a comprehensive second-order predictive modeling (PM) methodology based on the maximum entropy (MaxEnt) principle for obtaining best-estimate mean values and correlations ...
Researchers created a facial approximation that reconstructs what the ancient Egyptian pharaoh Tutankhamun may have looked like. When you purchase through links on our site, we may earn an affiliate ...
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