Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Overcoming the Artificial Biases for the Nonadditive $ q $-Entropy   Entropy maximization procedure has been a general practice in many diverse
fields of science to obtain the concomitant probability distributions. The
consistent use of the maximization procedure on the other hand requires the
probability distributions to obey the probability multiplication rule for
independent events. However, despite that the nonadditive $ q $-entropy is
known not to obey this rule, it is still used with the entropy maximization
procedure to infer the probability distributions at the expense of creating
artificial biases not present in the data itself. Here we show that this
important obstacle can be overcome by considering the intrinsic discrete
structure and related averaging scheme of the nonadditive $ q $-entropy. This
also paves the road to a better understanding of the entropy maximization
procedure of Jaynes.

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
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom