You can obtain user guides for BN Modeller application with the following link https://digiratory.github.io/bayes_model/. It covers various aspects of using BN ...

For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

Researchers at Cambridge University made a big splash in April last year when they announced that they had strong evidence ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

1 School of Public Health, Xinjiang Medical University, Urumqi, China 2 The Second Affiliated Hospital of Xi’an Jiaotong University Xinjiang Hospital, People’s Hospital of Xinjiang Uygur Autonomous ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external ...

Abstract: This article presents a novel deep learning model, the Attentive Bayesian Multi-Stage Forecasting Network (ABMF-Net), designed for robust forecasting of electricity price (USD/MWh) and ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.