Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Error bounds for some approximate posterior measures in Bayesian
  inference   In certain applications involving the solution of a Bayesian inverse problem,
it may not be possible or desirable to evaluate the full posterior, e.g. due to
the high computational cost of doing so. This problem motivates the use of
approximate posteriors that arise from approximating the data misfit or forward
model. We review some error bounds for random and deterministic approximate
posteriors that arise when the approximate data misfits and approximate forward
models are random.

20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an