Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation   We derive a new discrepancy statistic for measuring differences between two
probability distributions based on combining Stein's identity with the
reproducing kernel Hilbert space theory. We apply our result to test how well a
probabilistic model fits a set of observations, and derive a new class of
powerful goodness-of-fit tests that are widely applicable for complex and high
dimensional distributions, even for those with computationally intractable
normalization constants. Both theoretical and empirical properties of our
methods are studied thoroughly.

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The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs