Valid inference after data snooping
Abstract/Contents
- Abstract
- This dissertation consists of three unrelated parts: - Only Part I is related to the title of this thesis, Valid inference after data snooping. It provides a unified framework for understanding the flurry of recent work in post-selection inference, unifying the three goals of estimation, testing, and confidence intervals. I have attempted to provide a clean exposition of the motivation, theoretical results, and algorithms. - Part II is a collection of two published IEEE conference papers relating to statistics and audio signal processing. Both papers study low-rank models of audio spectrograms. - Part III describes the design of OHMS, an online homework system I designed and developed with Naftali Harris. This will hopefully be useful to people wishing to use and improve upon our open-source system. Details on how to obtain our code can be found in the Appendix.
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 | Sun, Dennis L |
|---|---|
| Associated with | Stanford University, Department of Statistics. |
| Primary advisor | Smith, Julius O. (Julius Orion) |
| Primary advisor | Taylor, Jonathan |
| Thesis advisor | Smith, Julius O. (Julius Orion) |
| Thesis advisor | Taylor, Jonathan |
| Thesis advisor | Walther, Guenther |
| Advisor | Walther, Guenther |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Dennis L. Sun. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Dennis Liu Sun
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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