Multivariate Nonparametric Tests of Independence

By Sara Taskinen, Hannu Oja, Ronald H. Randles. 2005

82 citations recorded by the source corpus.

Subfields: Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9e5c138681c0a787aad07d1cd19cda56ec071868

How researchers see this paper

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

In Environmental Engineering

In Statistics and Probability

Citations in the corpus

Statistical Dependence: Beyond Pearson’s ρ (2018, background): “Se also Fan et al. (2017).”
Copula-Based Measures of Multivariate Association (2010, background): “[108], mainly in the context of tests for stochastic independence.”
On Brownian Distance Covariance and High Dimensional Data (2009, unknown): “Multivariate nonparametric approaches to this problem can be found in Taskinen, Oja, and Randles [30], and the references therein.”
A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance (2017, background): “In many problem settings, as mentioned in [9], each experimental unit will be measured multiple times, resulting in multivariate data.”
Nonparametric inference on multivariate versions of Blomqvist’s beta and related measures of tail dependence (2007, background): “We mention Joe (1990), Nelsen (2002), Taskinen, Oja, and Randles (2005) , and ¶”
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs (2020, background): “, [81, 15, 86, 38, 103, 102, 41, 106, 47, 76, 82, 67, 53, 88, 61, 14, 10] and the references therein, however none of them satisfy (II).”
A consistent multivariate test of association based on ranks of distances (2012, background): “Moreover, our aim is to investigate the performanceof our test for nonmonotone relationships, and these classical tests, or related tests for higher dimensions found in Taskinen et al. (2005), are ineffective for testingnon-monotone types of dependence (Szekely et al., 2007).”
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation (2019, methodology): “…Rizzo, and Bakirov (2007), Berrett and Samworth (2019), Gretton, Fukumizu et al. (2008), Heller, Heller, and Gorfine (2013), Biswas, Sarkar, and Ghosh (2016), Gieser and Randles (1997), Taskinen, Oja, and Randles (2005), Oja (2010), and Friedman and Rafsky (1983) and the references therein.”