Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nonparametric inference for continuous-time event counting and
  link-based dynamic network models   A flexible approach for modeling both dynamic event counting and dynamic
link-based networks based on counting processes is proposed, and estimation in
these models is studied. We consider nonparametric likelihood based estimation
of parameter functions via kernel smoothing. The asymptotic behavior of these
estimators is rigorously analyzed by allowing the number of nodes to tend to
infinity. The finite sample performance of the estimators is illustrated
through an empirical analysis of bike share data.

11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
1
The categories of this paper are: cs
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga