3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Novel Multiscale Framework for Testing Independence: Efficient Detection of Explicit or Implicit Functional Relationships
Seetharaman P, Sagnik Das, Angshuman Roy
In this article, we consider the problem of testing the independence between two random variables. Our primary objective is to develop tests that are highly effective at detecting…
Some Clustering-based Change-point Detection Methods Applicable to High Dimension, Low Sample Size Data
Trisha Dawn, Angshuman Roy, Alokesh Manna +1
Detection of change-points in a sequence of high-dimensional observations is a very challenging problem, and this becomes even more challenging when the sample size (i.e., the sequ…
Some New Copula Based Distribution-free Tests of Independence among Several Random Variables
Angshuman Roy, Anil Ghosh, Alok Goswami +1
Over the last couple of decades, several copula based methods have been proposed in the literature to test for the independence among several random variables. But these existing t…
Multivariate Dependency Measure based on Copula and Gaussian Kernel
Angshuman Roy, Alok Goswami, C. A. Murthy
We propose a new multivariate dependency measure. It is obtained by considering a Gaussian kernel based distance between the copula transform of the given d-dimensional distributio…