Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regularized estimation for highly multivariate log Gaussian Cox
  processes   Statistical inference for highly multivariate point pattern data is
challenging due to complex models with large numbers of parameters. In this
paper, we develop numerically stable and efficient parameter estimation and
model selection algorithms for a class of multivariate log Gaussian Cox
processes. The methodology is applied to a highly multivariate point pattern
data set from tropical rain forest ecology.

20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph