Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the Stationary Distribution of Iterative Imputations   Iterative imputation, in which variables are imputed one at a time each given
a model predicting from all the others, is a popular technique that can be
convenient and flexible, as it replaces a potentially difficult multivariate
modeling problem with relatively simple univariate regressions.
  In this paper, we begin to characterize the stationary distributions of
iterative imputations and their statistical properties. More precisely, when
the conditional models are compatible (defined in the text), we give a set of
sufficient conditions under which the imputation distribution converges in
total variation to the posterior distribution of a Bayesian model. When the
conditional models are incompatible but are valid, we show that the combined
imputation estimator is consistent.

9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
1
The categories of this paper are: cs
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph