On a Reliable Peer-Review Process
Computer Science and Game Theory
2013-06-28 v2 Applications
Other Statistics
Abstract
We propose an enhanced peer-review process where the reviewers are encouraged to truthfully disclose their reviews. We start by modelling that process using a Bayesian model where the uncertainty regarding the quality of the manuscript is taken into account. After that, we introduce a scoring function to evaluate the reported reviews. Under mild assumptions, we show that reviewers strictly maximize their expected scores by telling the truth. We also show how those scores can be used in order to reach consensus.
Keywords
Cite
@article{arxiv.1204.5963,
title = {On a Reliable Peer-Review Process},
author = {Arthur Carvalho and Kate Larson},
journal= {arXiv preprint arXiv:1204.5963},
year = {2013}
}
Comments
This paper has been withdrawn by the author due to some errors in the basic model