%0 Journal Article
%T Model selection and sensitivity analysis for sequence pattern models
%A Mayetri Gupta
%J Mathematics
%D 2008
%I arXiv
%R 10.1214/193940307000000301
%X In this article we propose a maximal a posteriori (MAP) criterion for model selection in the motif discovery problem and investigate conditions under which the MAP asymptotically gives a correct prediction of model size. We also investigate robustness of the MAP to prior specification and provide guidelines for choosing prior hyper-parameters for motif models based on sensitivity considerations.
%U http://arxiv.org/abs/0805.2523v1