Model selection and sensitivity analysis for sequence pattern models
| dc.creator | Gupta, Mayetri | |
| dc.date | 2008-05-16 | |
| dc.date.accessioned | 2026-07-07T12:18:59Z | |
| dc.date.available | 2026-07-07T12:18:59Z | |
| dc.description | 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. | |
| dc.description | Published in at http://dx.doi.org/10.1214/193940307000000301 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org) | |
| dc.identifier | https://arxiv.org/abs/0805.2523 | |
| dc.identifier | http://arxiv.org/abs/0805.2523 | |
| dc.identifier | IMS Collections 2008, Vol. 1, 390-407 | |
| dc.identifier | doi:10.1214/193940307000000301 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/212598 | |
| dc.subject | Statistics Theory | |
| dc.subject | Methodology | |
| dc.subject | 62F15, 62P10 (Primary) 62F12 (Secondary) | |
| dc.title | Model selection and sensitivity analysis for sequence pattern models | |
| dc.type | text |