Phys.org

Statisticians and physicists team up to bring a machine learning approach to mining of nuclear data

Physicists use theoretical models to study physical quantities, such as the mass of nuclei, where they do not have experimental data. However, using a single imperfect theoretical model can lead to ...

The Limits of Causal Inference from Observational Data That Statisticians Hide—And Why We Keep Using It Anyway

Correlation is not causation—despite hearing this warning repeated so often, everyone in the business world says, ...
EurekAlert!

Statisticians and physicists team up to bring a machine learning approach to mining of nuclear data

Schematic illustration of the density of the Dirichlet distribution for true model mixing. Physicists use theoretical models to study physical quantities, such as the mass of nuclei, where they do not ...
EurekAlert!

Statisticians and Physicists Team Up to Bring a Machine Learning Approach to Mining of Nuclear Data (IMAGE)

Schematic illustration of the density of the Dirichlet distribution for true model mixing. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert!