How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better decisions.
Abstract: This paper introduces a novel Bayesian approach to detect changes in the variance of a Gaussian sequence model, focusing on quantifying the uncertainty in the change point locations and ...
A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the “principle of minimum change” — updating beliefs as little as possible ...
Abstract: This article presents a new Gaussian mixture model-based variational Bayesian approach (VBSDD-ETT) for solving the problem of skew-dense distribution (SDD) of measurement points in the ...
ABSTRACT: The Kelly strategy is renowned for its theoretically optimal long-term growth, however, its practical application in financial markets is constrained by several limitations, including ...
Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...
The boat executive, Mr. Costantino, has argued that the Bayesian was an extremely safe vessel that could list even to 75 degrees without capsizing. His company, the Italian Sea Group, in 2022 bought ...
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