“…Here, we set prior information on a quantity h = Hm representing some characteristics of back‐slip and regional motion model parameters, constraining the values of h to be close to h o = 0 with covariance matrix C h . We use the EPIC Tikhonov regularization to define a spatially variable smoothing prior for back‐slip, improving stability, resolution and interpretability of slip estimates, particularly along the dip direction (Ortega‐Culaciati et al.,
2021). The EPIC counterbalances the spatial heterogeneity of the constraints on back‐slip provided by GNSS observations, by determining variances of prior information ( C h ) based on a chosen form of the structure of the posterior covariance matrix
.…”