Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...

Bayesian approaches are increasingly important in public health because they provide a formal framework for quantifying uncertainty within models, offering more informed and cautious estimates for ...