Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Asymptotic efficiency in the Autoregressive process driven by a
  stationary Gaussian noise   The first purpose of this article is to obtain a.s. asymptotic properties of
the maximum likelihood estimator in the autoregressive process driven by a
stationary Gaussian noise. The second purpose is to show the local asymptotic
normality property of the likelihoods ratio in order to get a notion of
asymptotic efficiency and to build an asymptotically uniformly invariant most
powerful procedure for testing the significance of the autoregressive
parameter.

6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
1
The categories of this paper are: cs