Some new copula based distribution-free tests of independence among several random variables
From MaRDI portal
Publication:2082331
DOI10.1007/s13171-020-00207-2OpenAlexW3043333404MaRDI QIDQ2082331
Alok Goswami, Angshuman Roy, Anil Kumar Ghosh, Chivukula A. Murthy
Publication date: 4 October 2022
Published in: Sankhyā. Series A (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1903.08987
Multivariate distribution of statistics (62H10) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)
Related Items (3)
Test of bivariate independence based on angular probability integral transform with emphasis on circular-circular and circular-linear data ⋮ Copula versions of distance multivariance and dHSIC via the distributional transform – a general approach to construct invariant dependence measures ⋮ ECOPICA: empirical copula-based independent component analysis
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Measuring and testing dependence by correlation of distances
- Detecting Novel Associations in Large Data Sets
- On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions
- A class of multivariate distribution-free tests of independence based on graphs
- A multivariate version of Hoeffding's phi-square
- A simple multiway ANOVA for functional data
- The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
- An introduction to copulas.
- Introducing the discussion paper by Székely and Rizzo
- On nonparametric measures of dependence for random variables
- Sign test of independence between two random vectors.
- The control of the false discovery rate in multiple testing under dependency.
- An extension of Mercer's theory to \(L^p\)
- Multivariate nonparametric test of independence
- Multivariate versions of Blomqvist's beta and Spearman's footrule
- Hilbert space embeddings and metrics on probability measures
- Approximation Theorems of Mathematical Statistics
- A Nonparametric Test of Independence Between Two Vectors
- Kernel-Based Tests for Joint Independence
- A multivariate nonparametric test of independence among many vectors
- 10.1162/153244303321897690
- A consistent multivariate test of association based on ranks of distances
- Semiparametric estimation in copula models
- Multivariate Nonparametric Tests of Independence
- A NEW MEASURE OF RANK CORRELATION
- A Non-Parametric Test of Independence
- On a Measure of Dependence Between two Random Variables
This page was built for publication: Some new copula based distribution-free tests of independence among several random variables