Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive Convergence Rates of a Dirichlet Process Mixture of
  Multivariate Normals   It is shown that a simple Dirichlet process mixture of multivariate normals
offers Bayesian density estimation with adaptive posterior convergence rates.
Toward this, a novel sieve for non-parametric mixture densities is explored,
and its rate adaptability to various smoothness classes of densities in
arbitrary dimension is demonstrated. This sieve construction is expected to
offer a substantial technical advancement in studying Bayesian non-parametric
mixture models based on stick-breaking priors.

19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph