Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Dynamic Linear Model to Forecast Hotel Registrations in Puerto Rico
  Using Google Trends Data   Recently, studies have used search query volume (SQV) data to forecast a
given process of interest. However, Google Trends SQV data comes from a
periodic sample of queries. As a result, Google Trends data is different every
week. We propose a Dynamic Linear Model that treats SQV data as a
representation of an unobservable process. We apply our model to forecast the
number of hotel nonresident registrations in Puerto Rico using SQV data
downloaded in 11 different occasions. The model provides better inference on
the association between the number of hotel nonresident registrations and SQV
than using Google Trends data retrieved only on one occasion. Furthermore, our
model results in more realistic prediction intervals of forecasts. However,
compared to simpler models we only find evidence of better performance for our
model when making forecasts on a horizon of over 6 months.

2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th