Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Estimating covariance functions of multivariate skew-Gaussian random
  fields on the sphere   This paper considers a multivariate spatial random field, with each component
having univariate marginal distributions of the skew-Gaussian type. We assume
that the field is defined spatially on the unit sphere embedded in
$\mathbb{R}^3$, allowing for modeling data available over large portions of
planet Earth. This model admits explicit expressions for the marginal and cross
covariances. However, the $n$-dimensional distributions of the field are
difficult to evaluate, because it requires the sum of $2^n$ terms involving the
cumulative and probability density functions of a $n$-dimensional Gaussian
distribution. Since in this case inference based on the full likelihood is
computationally unfeasible, we propose a composite likelihood approach based on
pairs of spatial observations. This last being possible thanks to the fact that
we have a closed form expression for the bivariate distribution. We illustrate
the effectiveness of the method through simulation experiments and the analysis
of a real data set of minimum and maximum temperatures.

11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol