Probabilistic graphical models, such as Bayesian networks, are intuitive and theoretically sound tools for modeling uncertainty. A major problem with applying Bayesian networks in practice is that it is hard to judge whether a model fits well a case that it is supposed to solve. One way of expressing a possible dissonance between a model and a case is the surprise index, proposed by Habbema, wh...

Abstract General nonlinear high odd-order differential equations with Lidstone–Euler boundary conditions of second type are treated both theoretically and computationally. First, the associated interpolation problem is considered. Then, a theorem existence uniqueness solution to second-type value given. Finally, for numerical solution, two different approaches illustrated some examples included...

ABSTRACT The study aimed to identify and evaluate the spatial variability in laminar erosion areas using precision agriculture tools. Soil data from three properties western region of Paraná state, Brazil, were used: one municipality Céu Azul (area A) two Serranópolis do Iguaçu (areas B C). To discrepant (outliers), analysis dispersion quartiles was performed a box-plot graph. Data normality ve...