Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Three fundamental problems in risk modeling on big data: an information
  theory view   Since Claude Shannon founded Information Theory, information theory has
widely fostered other scientific fields, such as statistics, artificial
intelligence, biology, behavioral science, neuroscience, economics, and
finance. Unfortunately, actuarial science has hardly benefited from information
theory. So far, only one actuarial paper on information theory can be searched
by academic search engines. Undoubtedly, information and risk, both as
Uncertainty, are constrained by entropy law. Today's insurance big data era
means more data and more information. It is unacceptable for risk management
and actuarial science to ignore information theory. Therefore, this paper aims
to exploit information theory to discover the performance limits of insurance
big data systems and seek guidance for risk modeling and the development of
actuarial pricing systems.

5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int