Multivariate and multiple permutation tests
By E. Chung, Joseph P. Romano. 2016
66 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4558e749609e971cfab0761e57d723788ff44ec3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Sivaraman Balakrishnan
- Larry A. Wasserman
- Peng Ding
- E.J. Candes
- Jason A. Wu
- Rina Foygel Barber
- Alessio Farcomeni
- Jayadev Acharya
In Statistics and Probability
- E.J. Candes
- Rina Foygel Barber
- Sivaraman Balakrishnan
- Larry A. Wasserman
- Ilmun Kim
- Jason A. Wu
- Martin J. Wainwright
- Peng Ding
Citations in the corpus
- Controlling the false discovery rate via knockoffs (2014, background): “While they may be quite effective under a global null, they may fail to yield correct answers in cases other than the global null; see also [6, 7] for other sources of problems associated with permutation methods.”
- Randomization Tests for Weak Null Hypotheses in Randomized Experiments (2018, background): “Under iid sampling and vector potential outcomes, Chung and Romano (2016) addressed the two-sample problem with permutation tests.”
- Minimax optimality of permutation tests (2020, background): “Finally, we also note that the robustness of permutation tests to violations of the exchangeability condition has been investigated by Romano (1990); Chung and Romano (2013); Pauly et al. (2015); Chung and Romano (2016); DiCiccio and Romano (2017).”