Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring patterns of demand in bike sharing systems via replicated
  point process models   Understanding patterns of demand is fundamental for fleet management of bike
sharing systems. In this paper we analyze data from the Divvy system of the
city of Chicago. We show that the demand of bicycles can be modeled as a
multivariate temporal point process, with each dimension corresponding to a
bike station in the network. The availability of daily replications of the
process allows nonparametric estimation of the intensity functions, even for
stations with low daily counts, and straightforward estimation of pairwise
correlations between stations. These correlations are then used for clustering,
revealing different patterns of bike usage.

19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex