Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Statistical Analysis of Multi-Relational Network Recovery   In this paper, we develop asymptotic theories for a class of latent variable
models for large-scale multi-relational networks. In particular, we establish
consistency results and asymptotic error bounds for the (penalized) maximum
likelihood estimators when the size of the network tends to infinity. The basic
technique is to develop a non-asymptotic error bound for the maximum likelihood
estimators through large deviations analysis of random fields. We also show
that these estimators are nearly optimal in terms of minimax risk.

10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess