Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 3 of 3 for “"Distance covariance"”.
-
Dependence testing in high dimension
… The test is constructed based on the pairwise distance covariance and it accounts for the non-linear and non-monotone dependencies among the data. Our test can be conveniently implemented in practice as the limiting null distribution of the test statistic is shown to be standard normal. It …
-
Statistical inference for high-dimensional data
… proposed methods. In the first chapter, we study distance covariance, Hilbert-Schmidt covariance (aka Hilbert-Schmidt independence criterion [Gretton et al. (2008)] and related independence tests under the high dimensional scenario. We show that the sample distance/Hilbert-Schmidt covariance …
-
Network Inference Using Independence Criteria
… the most popular general independence criteria: distance covariance (dCov), kernel canonical variance (KCC), kernel generalized variance (KGV) and the Hilbert-Schmidt Independence Criterion (HSIC). We provide easy to understand geometrical interpretations for these criteria. We also explicitly …