Estimating latent structure in financial data
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2023; ©2023 |
Publication date | 2023; 2023 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Lerner, Stephen Sven |
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Degree supervisor | Pelger, Markus |
Thesis advisor | Pelger, Markus |
Thesis advisor | Giesecke, Kay |
Thesis advisor | Glynn, Peter W |
Degree committee member | Giesecke, Kay |
Degree committee member | Glynn, Peter W |
Associated with | Stanford University, School of Engineering |
Associated with | Stanford University, Institute for Computational and Mathematical Engineering |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Sven Lerner. |
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Note | Submitted to the Institute for Computational and Mathematical Engineering. |
Thesis | Thesis Ph.D. Stanford University 2023. |
Location | https://purl.stanford.edu/wh795fh6821 |
Access conditions
- Copyright
- © 2023 by Stephen Sven Lerner
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