especially its derivatives, it is possible to enhance the quality of our estimates. This project focuses on the development and application of shape-constrained Gaussian processes to improve function ...

Non-normality refers to the deviation of the distribution of a variable from the normal or Gaussian shape. Non-linearity refers to the deviation of the relationship between two variables from a ...

Unfortunately, GS are difficult to condition since they usually require circa hundred thousand Gaussian components. To mitigate the caveats of both models, we propose a hybrid model that uses GS ...

Abstract: This paper presents the results of a numerical parametric study on the seismic behaviour of 3-D Gaussian-shaped valleys subjected ... It was shown that wavelength and site geometry, ...