Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantization for a mixture of uniform distributions associated with
  probability vectors   The basic goal of quantization for probability distribution is to reduce the
number of values, which is typically uncountable, describing a probability
distribution to some finite set and thus approximation of a continuous
probability distribution by a discrete distribution. Mixtures of probability
distributions, also known as mixed distributions, are an exciting new area for
optimal quantization. In this paper, we investigate the optimal quantization
for three different mixed distributions generated by uniform distributions
associated with probability vectors.

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The categories of this paper are: dg-ga
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
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The categories of this paper are: q-bio
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The categories of this paper are: astro-ph
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The categories of this paper are: physics
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: math-ph
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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: comp-gas
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The categories of this paper are: supr-con