Thesis
Nonparametric independence testing and regression for time-to-event data
- Abstract:
-
The main goal of this thesis is to develop statistical methods for non-parametric independence testing and regression between a covariate and a right-censored event-time. First, we study tests of independence that use reproducing kernel Hilbert spaces (RKHSs) to quantify the dependence in a dataset. In particular we study permutation tests with the Hilbert Schmidt independence criterion (HSIC) as the test-statistic. We show such tests are pointswise consistent, which means that, for each f...
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Authors
Contributors
+ Sejdinovic, D
Role:
Supervisor
+ Steinsaltz, D
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
Funding
Engineering and Physical Science Research Council
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Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- Deposit date:
- 2022-08-29
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Terms of use
- Copyright holder:
- David Rindt
- Copyright date:
- 2021
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