Bayesian additive modelling has emerged as a powerful framework for analysing datasets characterised by large numbers of predictors and complex response patterns. At its core, the methodology employs ...

Microstructural modeling in metal additive manufacturing seeks to predict and control the microscopic arrangement of grains and phases that form during layer-by-layer fabrication. By coupling thermal ...

This activity was supported by the U.S. National Institute of Standards and Technology (Contract No. SB134117CQ0017), the Department of Energy, Los Alamos National Laboratory, and Sandia National ...

Limitations of linear regression applied on ecological data -- Things are not always linear : additive modeling -- Dealing with heterogeneity -- Mixed effects modeling for nested data -- Violation of ...