8 citations · 10 across the 5 of their papers we have counts for
5 papers
Testing independence in the presence of missing data: high-dimensional case
Marija Cuparić, Bojana Milošević, Jelena Radojević
In this paper, we consider the problem of testing independence in high-dimensional settings with missing data. Building upon a recently proposed Kendall-based statistic, we introdu…
Independence Testing for Mixed Data
Dana Bucalo Jelić, Marija Cuparić, Bojana Milošević
We consider the problem of testing independence in mixed-type data that combine count variables with positive, absolutely continuous variables. We first introduce two distinct clas…
A new flexible class of kernel-based tests of independence
Marija Cuparić, Bruno Ebner, Bojana Milošević
Spherical and hyperspherical data are commonly encountered in diverse applied research domains, underscoring the vital task of assessing independence within such data structures. I…
Asymptotic distribution of certain degenerate V- and U-statistics with estimated parameters
Marija Cuparić, Bojana Milošević, Marko Obradović
The asymptotic distribution of a wide class of V- and U-statistics with estimated parameters is derived in the case when the kernel is not necessarily differentiable along the para…
New -type exponentiality tests
Marija Cuparić, Bojana Milošević, Marko Obradović
We introduce new consistent and scale-free goodness-of-fit tests for the exponential distribution based on Puri-Rubin characterization. For the construction of test statistics we e…