Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Total Variation Regularization for Compartmental Epidemic Models with
  Time-Varying Dynamics   Compartmental epidemic models are among the most popular ones in
epidemiology. For the parameters (e.g., the transmission rate) characterizing
these models, the majority of researchers simplify them as constants, while
some others manage to detect their continuous variations. In this paper, we aim
at capturing, on the other hand, discontinuous variations, which better
describe the impact of many noteworthy events, such as city lockdowns, the
opening of field hospitals, and the mutation of the virus, whose effect should
be instant. To achieve this, we balance the model's likelihood by total
variation, which regulates the temporal variations of the model parameters. To
infer these parameters, instead of using Monte Carlo methods, we design a novel
yet straightforward optimization algorithm, dubbed Iterated Nelder--Mead, which
repeatedly applies the Nelder--Mead algorithm. Experiments conducted on the
simulated data demonstrate that our approach can reproduce these
discontinuities and precisely depict the epidemics.

26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc