Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Examples of Application of Nonparametric Information Geometry to
  Statistical Physics   We review a nonparametric version of Amari's Information Geometry in which
the set of positive probability densities on a given sample space is endowed
with an atlas of charts to form a differentiable manifold modeled on Orlicz
Banach spaces. This nonparametric setting is used to discuss the setting of
typical problems in Machine Learning and Statistical Physics, such as relaxed
optimization, Kullback-Leibler divergence, Boltzmann entropy, Boltzmann
equation

26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
1
The categories of this paper are: cs
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an