Interactions and high dimensional data
Abstract/Contents
- Abstract
- To date, testing interactions in high dimensions has been a challenging task. In this manuscript we attack the problem of estimating and testing marginal interactions for binary response in high dimensions. We give a simple approach to testing using permutations that we show to be more robust, more parsimonious, and more powerful than existing alternatives. We also give a framework for classification that we show, in some cases, can significantly outperform more classical methods.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Simon, Noah |
|---|---|
| Associated with | Stanford University, Department of Statistics. |
| Primary advisor | Tibshirani, Robert |
| Primary advisor | Friedman, J. H. (Jerome H.) |
| Thesis advisor | Tibshirani, Robert |
| Thesis advisor | Efron, Bradley |
| Thesis advisor | Friedman, J. H. (Jerome H.) |
| Thesis advisor | Olshen, Richard A, 1942- |
| Advisor | Efron, Bradley |
| Advisor | Friedman, J. H. (Jerome H.) |
| Advisor | Olshen, Richard A, 1942- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Noah Simon. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2013. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Noah Simon
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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