Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Note on Using Discretized Simulated Data to Estimate Implicit
  Likelihoods in Bayesian Analyses   This article presents a Bayesian inferential method where the likelihood for
a model is unknown but where data can easily be simulated from the model. We
discretize simulated (continuous) data to estimate the implicit likelihood in a
Bayesian analysis employing a Markov chain Monte Carlo algorithm. Three
examples are presented as well as a small study on some of the method's
properties.

2
The categories of this paper are: math
1
The categories of this paper are: cs
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess