Strongly consistent nonparametric tests of conditional independence
By László Györfi, Harro Walk. 2012
28 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Sara Magliacane
- Tom Claassen
- Maria L. Rizzo
- G'abor J. Sz'ekely
- Joris M. Mooij
- Sivaraman Balakrishnan
- Larry A. Wasserman
- Matey Neykov
In Statistics and Probability
- Larry A. Wasserman
- Sivaraman Balakrishnan
- G'abor J. Sz'ekely
- Maria L. Rizzo
- Arthur Gretton
- Matey Neykov
- Mathias Drton
- Joris M. Mooij
Citations in the corpus
- Joint Causal Inference from Multiple Contexts (2016, methodology): “Another example of a distribution-free and even strongly-consistent conditional independence test is proposed by Györfi and Walk (2012). In general, when using the p-value as a test statistic, one should choose the sample-size dependent threshold αN (where the p-value of the test result is used to d”
- Minimax optimal conditional independence testing (2020, background): “In an interesting paper, Györfy and Walk [16], extend the independence testing results of Gretton and Györfi [15] to the CI case, and propose strongly consistent nonparametric tests.”
- Energy statistics: A class of statistics based on distances (2013, background): “For other recent consistent tests of bivariate or multivariate independence see e.g. Feuerverger (1993), Gretton and Györfi (2010), and Gretton and Györfi (2012).”