Dynamic stochastic models for experimentation and matching
Abstract/Contents
- Abstract
- The goal of this thesis is to study key questions arising in matching and experimentation in time-varying stochastic models. In the first part, we study optimal design and statistical inference of switchback experiments. In the second part, we focus on an optimal matching policy of a centralized dynamic matching market.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Wu, Linjia |
|---|---|
| Degree supervisor | Blanchet, Jose H |
| Degree supervisor | Johari, Ramesh, 1976- |
| Thesis advisor | Blanchet, Jose H |
| Thesis advisor | Johari, Ramesh, 1976- |
| Thesis advisor | Glynn, Peter W |
| Degree committee member | Glynn, Peter W |
| Associated with | Stanford University, Department of Management Science and Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Linjia Wu. |
|---|---|
| Note | Submitted to the Department of Management Science and Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/gb201bq1726 |
Access conditions
- Copyright
- © 2022 by Linjia Wu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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