Example of a fully Bayesian forecast performed using an Evidence Network. This code also replicates the analysis of Gessey-Jones et al. (2024). This repository thus serves the dual purposes of ...

The Bayesian Filter is a class that allows you to update probabilities based on new evidence using Bayesian probability. This README provides a brief explanation of the inputs and the class ...

In an article recently submitted to the ArXiV* server, researchers delved into the limitations of Expected Improvement (EI) in Bayesian optimization. They introduced LogEI, a novel family of ...

The calibration of physiologically based toxicokinetic models against experimental data encompasses the merging of prior knowledge with information present in the data. This prior knowledge is ...

Abstract: We develop and apply a Bayesian linear regression technique for few-shot performance modeling of silicon photonic devices under process variation. The key contribution is to leverage ...

Saltwater intrusion has become one of the most concerning issues in the Vietnamese Mekong Delta (VMD) due to its increasing impacts on agriculture and food security of Vietnam. Reliable estimation of ...