Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Population Posterior and Bayesian Inference on Streams   Many modern data analysis problems involve inferences from streaming data.
However, streaming data is not easily amenable to the standard probabilistic
modeling approaches, which assume that we condition on finite data. We develop
population variational Bayes, a new approach for using Bayesian modeling to
analyze streams of data. It approximates a new type of distribution, the
population posterior, which combines the notion of a population distribution of
the data with Bayesian inference in a probabilistic model. We study our method
with latent Dirichlet allocation and Dirichlet process mixtures on several
large-scale data sets.

23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc