Scholbeck, Christian Alexander (2024): Bridging gaps in interpretable machine learning: sensitivity analysis, marginal effects, and cluster explanations. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics |
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Scholbeck_Christian.pdf 21MB |
DOI: 10.5282/edoc.34163
Item Type: | Theses (Dissertation, LMU Munich) |
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Subjects: | 500 Natural sciences and mathematics 500 Natural sciences and mathematics > 510 Mathematics |
Faculties: | Faculty of Mathematics, Computer Science and Statistics |
Language: | English |
Date of oral examination: | 14. May 2024 |
1. Referee: | Heumann, Christian |
MD5 Checksum of the PDF-file: | 6f5d86bf6956d640f24df90345a24928 |
Signature of the printed copy: | 0001/UMC 30727 |
ID Code: | 34163 |
Deposited On: | 10. Oct 2024 10:38 |
Last Modified: | 10. Oct 2024 10:39 |
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