  In electromagnetic source localization problems stemming from linearized
Poisson-type equation, the aim is to locate the sources within a domain that
produce given measurements on the boundary. In this type of problem, biasing of
the solution is one of the main causes of mislocalization. A technique called
standardization was developed to reduce biasing. However, the lack of a
mathematical foundation for this method can cause difficulties in its
application and confusion regarding the reliability of solutions. Here, we give
a rigorous and generalized treatment for the technique using the Bayesian
framework to shed light on the technique's abilities and limitations. In
addition, we take a look at the noise robustness of the method, which is widely
reported in numerical studies. The paper starts by giving a gentle introduction
to the problem and its bias and works its way toward standardization.
