Dependent wild bootstrap for degenerate U- and V-statistics

By Anne Leucht, Michael H. Neumann. 2013

87 citations recorded by the source corpus.

Subfields: Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Dino Sejdinovic
2. Arthur Gretton
3. Kacper P. Chwialkowski
4. Heiko Strathmann
5. Bernhard Schölkopf
6. Bharath K. Sriperumbudur
7. Kenji Fukumizu
8. Krikamol Muandet

Citations in the corpus

• A Kernel Test of Goodness of Fit (2016, methodology): “The two concepts required to derive the distribution of the test statistic are: τ -mixing (Dedecker et al., 2007; Leucht & Neumann, 2013), and V-statistics (Serfling, 1980).”
• A Wild Bootstrap for Degenerate Kernel Tests (2014, methodology): “The versions of the bootstrapped V -statistics in (2) and (3) were previously studied in [22] for the case of canonical cores of degree m = 2.”
• An Updated Literature Review of Distance Correlation and Its Applications to Time Series (2017, unknown): “They are computed via the wild bootstrap method (Dehling and Mikosch, 1994; Shao, 2010; Leucht and Neumann, 2013) following the algorithm presented in Fokianos and Pitsillou (2018).”