“…To put it short, the error caused by the mismodeling was included as an extra additive noise process in the measurement model, its statistics were estimated in advance based on heavy simulations and prior knowledge on all unknown parameters, and finally the actual inversion was performed within the Bayesian paradigm. Recently, [14] built a polynomial surrogate for the dependence of the boundary measurements of EIT on all unknowns, including the parametrized measurement geometry, and employed this surrogate in straightforward Tikhonov regularization in two spatial dimensions. Of the aforementioned methods, the ones introduced in [21,22] and [14] have only been implemented in two spatial dimensions, and the approximation error approach employed in [27,28] requires a vast and expressive teaching sample describing the possible types of geometric mismodeling.…”