## Abstract Variable selection in regression with very big numbers of variables is challenging both in terms of model specification and computation. We focus on genetic studies in the field of survival, and we present a Bayesian‐inspired penalized maximum likelihood approach appropriate for high‐di
✦ LIBER ✦
Variable selection in regression—a tutorial
✍ Scribed by C. M. Andersen; R. Bro
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 506 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0886-9383
- DOI
- 10.1002/cem.1360
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