r_nom = data.frequency_ratio; % Nominal values of the dimensionless input frequency ratios coulomb_force = flip(driving_force .* data.force_ratio); % Nominal values ...

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 ...

Bayesian methods are becoming an increasingly popular approach to data analysis across a wide range of research fields. They offer a flexible and structured framework for statistical inference, ...

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 ...

Abstract: We investigate the use of Bayesian methods for hyperspectral subpixel target detection, where the uncertainty associated with the target fill factor is “probabilized” by a suitable prior.

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 ...