Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting seasonal influenza transmission using Regression Models with
  Temporal Dependence   In this manuscript, we use meteorological information in Galicia (Spain) to
propose a novel approach to predict the incidence of influenza. Our approach
extends the GLS methods in the multivariate framework to functional regression
models with dependent errors. A simulation study shows that the GLS estimators
render better estimations of the parameters associated with the regression
model and obtain extremely good results from the predictive point of view. Thus
they improve the classical linear approach. It proposes an iterative version of
the GLS estimator (called iGLS) that can help to model complicated dependence
structures, uses the distance correlation measure $\mathcal{R}$ to select
relevant information to predict influenza rate and applies the GLS procedure to
the prediction of the influenza rate using readily available functional
variables. These kinds of models are extremely useful to health managers in
allocating resources in advance for an epidemic outbreak.

12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
3
The categories of this paper are: physics
18
The categories of this paper are: econ
1
The categories of this paper are: cs
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph