Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Asymptotics of maximum likelihood estimators based on Markov chain Monte
  Carlo methods   In many complex statistical models maximum likelihood estimators cannot be
calculated. In the paper we solve this problem using Markov chain Monte Carlo
approximation of the true likelihood. In the main result we prove asymptotic
normality of the estimator, when both sample sizes (the initial and Monte Carlo
one) tend to infinity. Our result can be applied to models with intractable
norming constants and missing data models.

29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin