Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Semiparametric estimation for space-time max-stable processes: F
  -madogram-based estimation approach   Max-stable processes have been expanded to quantify extremal dependence in
spatio-temporal data. Due to the interaction between space and time,
spatio-temporal data are often complex to analyze. So, characterizing these
dependencies is one of the crucial challenges in this field of statistics. This
paper suggests a semiparametric inference methodology based on the
spatio-temporal F-madogram for estimating the parameters of a space-time
max-stable process using gridded data. The performance of the method is
investigated through various simulation studies. Finally, we apply our
inferential procedure to quantify the extremal behavior of radar rainfall data
in a region in the State of Florida.

0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat