PC priors for residual correlation parameters in one-factor mixed models
Lack of independence in the residuals from linear regression motivates the use of random effect models in many applied fields. We start from the one-way
Lack of independence in the residuals from linear regression motivates the use of random effect models in many applied fields. We start from the one-way
We present a new, elementary way to obtain axially symmetric Gaussian processes on the sphere, in order to accommodate for the directional anisotropy of global
In the paper, gridless particle techniques are presented in order to solve problems involving electrostatic, collisionless plasmas. The method makes use of computational particles having
Entropy is a measure of heterogeneity widely used in applied sciences, often when data are collected over space. Recently, a number of approaches has been