“…Furthermore, we extend SA to a special class of non-Gaussian RFs, so-called translation RFs [29], and present application for RF models with lognormal, Student's π‘-and log-Student's π‘-marginal distribution. Student's π‘-and log-Student's π‘-RFs appear as predictive RFs when learning is performed with spatial data [30]. RFs with lognormal or log-Student's π‘-marginal distribution are advantageous for modeling non-negative quantities, such as strength parameter of materials, as the support of these distributions is limited to the positive axis.…”