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arXiv · 0805.2523

Model selection and sensitivity analysis for sequence pattern models

Mayetri Gupta
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Abstract

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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Mayetri Gupta. 2008-05-16. Model selection and sensitivity analysis for sequence pattern models. https://doi.org/10.1214/193940307000000301

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