Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Variance Reduction in Stochastic Reaction Networks using Control
  Variates   Monte Carlo estimation in plays a crucial role in stochastic reaction
networks. However, reducing the statistical uncertainty of the corresponding
estimators requires sampling a large number of trajectories. We propose control
variates based on the statistical moments of the process to reduce the
estimators' variances. We develop an algorithm that selects an efficient subset
of infinitely many control variates. To this end, the algorithm uses resampling
and a redundancy-aware greedy selection. We demonstrate the efficiency of our
approach in several case studies.

20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
21
The categories of this paper are: adap-org