Four approaches to combining data
Abstract/Contents
- Abstract
- This thesis is an amalgamation of four projects that study how data from different sources can be meaningfully combound. Exactly what it means to combine data will vary from chapter to chapter. All of the work had biological data as a motivating factor and most of the projects directly address high dimensional datasets.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2015 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Gross, Samuel M |
|---|---|
| Associated with | Stanford University, Department of Statistics. |
| Primary advisor | Tibshirani, Robert |
| Thesis advisor | Tibshirani, Robert |
| Thesis advisor | Hastie, Trevor |
| Thesis advisor | Holmes, Susan |
| Advisor | Hastie, Trevor |
| Advisor | Holmes, Susan |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Samuel M. Gross. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Samuel Mesirov Gross
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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