Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Percent Change Estimation in Large Scale Online Experiments   Online experiments are a fundamental component of the development of
web-facing products. Given their large user-bases, even small product
improvements can have a large impact on user engagement or profits on an
absolute scale. As a result, accurately estimating the relative impact of these
changes is extremely important. I propose an approach based on an objective
Bayesian model to improve the sensitivity of percent change estimation in A/B
experiments. Leveraging pre-period information, this approach produces more
robust and accurate point estimates and up to 50% tighter credible intervals
than traditional methods. The R package abpackage provides an implementation of
the approach.

14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con