Detection of Sparse and Weak Effects in High-Dimensional Supervised Learning Problems, Applied to Human Microbiome Data
This project studies the signal detection and identification problem in high-dimensional noisy data and the possibility of using it on microbiome data. An extensive simulation study was performed on generated data using as well as a microbiome dataset collected on patients with Parkinson's dise...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288503 |