Model selection and sensitivity analysis for sequence pattern models

Details Model selection and sensitivity analysis for sequence pattern models Model selection and sensitivity analysis for sequence pattern models

2008-05-16

arxiv.org/abs/0805.2523v1

IMS Collections 2008, Vol. 1, 390-407

Mathematics

Statistics Theory

Published in at http://dx.doi.org/10.1214/193940307000000301 the IMS Collections (http://www.imstat.org/publications/imscollec

Scientific paper

10.1214/193940307000000301

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.

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