On some topics in statistical learning : cluster-aware Lasso and others
Abstract/Contents
- Abstract
- In this thesis, we visit four topics in statistical learning: Cluster-Aware Lasso, an adaptation of lasso dealing with correlated features in supervised learning, which uses a hierarchical clustering-based approach to adaptively select clusters of features. Confidence Intervals for Generalisation Error in Random Forests, an effort to extend the out-of-bag error point estimate in random forests to a confidence interval with appropriate coverage for generalisation error. Prediction of Gestational age using metabolite data, approaches to a specific problem type in supervised learning in which multiple observations are made at different time points for a given unit and the response is a time to or from a fixed event. Statistical Summaries of unlabelled evolutionary trees, techniques for summarising samples and distributions on a class of tree structures which are ranked and unlabelled.
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 | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Rajanala, Samyak |
|---|---|
| Degree supervisor | Tibshirani, Robert |
| Thesis advisor | Tibshirani, Robert |
| Thesis advisor | Hastie, Trevor |
| Thesis advisor | Palacios Roman, Julia Adela |
| Degree committee member | Hastie, Trevor |
| Degree committee member | Palacios Roman, Julia Adela |
| Associated with | Stanford University, School of Humanities and Sciences |
| Associated with | Stanford University, Department of Statistics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Rajanala Samyak. |
|---|---|
| Note | Submitted to the Department of Statistics. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/cg748xm7766 |
Access conditions
- Copyright
- © 2023 by Samyak Rajanala
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