Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Markov Equivalence of Max-Linear Bayesian Networks   Max-linear Bayesian networks have emerged as highly applicable models for
causal inference via extreme value data. However, conditional independence (CI)
for max-linear Bayesian networks behaves differently than for classical
Gaussian Bayesian networks. We establish the parallel between the two theories
via tropicalization, and establish the surprising result that the Markov
equivalence classes for max-linear Bayesian networks coincide with the ones
obtained by regular CI. Our paper opens up many problems at the intersection of
extreme value statistics, causal inference and tropical geometry.

31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph