Model selection and sensitivity analysis for sequence pattern models

Gupta, M. (2009) Model selection and sensitivity analysis for sequence pattern models. Institute of Mathematical Statistics Collections, 1(1), pp. 390-407.

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Publisher's URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2887058/

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Gupta, Professor Mayetri
Authors: Gupta, M.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Institute of Mathematical Statistics Collections
ISSN:1937-5166
ISSN (Online):1939-4039

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