Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Causal Inference in Geosciences with Kernel Sensitivity Maps   Establishing causal relations between random variables from observational
data is perhaps the most important challenge in today's Science. In remote
sensing and geosciences this is of special relevance to better understand the
Earth's system and the complex and elusive interactions between processes. In
this paper we explore a framework to derive cause-effect relations from pairs
of variables via regression and dependence estimation. We propose to focus on
the sensitivity (curvature) of the dependence estimator to account for the
asymmetry of the forward and inverse densities of approximation residuals.
Results in a large collection of 28 geoscience causal inference problems
demonstrate the good capabilities of the method.

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The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
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The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys