Kernel-based hypothesis tests: large-scale approximations and Bayesian perspectives
<p>This thesis contributes to the field of nonparametric hypothesis testing (i.e. two-sample and independence testing) by providing a large-scale framework and developing a Bayesian perspective. We focus on nonparametric measures of homogeneity and dependence by considering the Hilbert norms b...
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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