Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stationary underdispersed INAR(1) models based on the backward approach   Most of the stationary first-order autoregressive integer-valued (INAR(1))
models were developed for a given thinning operator using either the forward
approach or the backward approach. In the forward approach the marginal
distribution of the time series is specified and an appropriate distribution
for the innovation sequence is sought. Whereas in the backward setting, the
roles are reversed. The common distribution of the innovation sequence is
specified and the distributional properties of the marginal distribution of the
time series are studied. In this article we focus on the backward approach in
presence of the Binomial thinning operator. We establish a number of
theoretical results which we proceed to use to develop stationary INAR(1)
models with finite mean. We illustrate our results by presenting some new
INAR(1) models that show underdispersion.

17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
1
The categories of this paper are: cs
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an