Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1837
Title: On independence testing: a randomly censored data perspective
Authors: Cuparić, Marija 
Milošević, Bojana 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Issue Date: 2024
Rank: M34
Publisher: Beograd : Matematički fakultet
Related Publication(s): Statistical Modelling with Aplications StatMod2024 : Book of Abstracts
Conference: Statistical Modelling with Applications StatMod(2024 ; Belgrade)
Abstract: 
Here we consider the problem of testing independence in the presence of randomly censored data. In the first part, we focus on the recent adaptations of tests related to Kendall's τ, examining their asymptotic behavior and performance on small sample sizes (see [1]). The second part of the talk explores extensions of these tests within mixture cure models. We will also present some preliminary results and outline directions for future research.
URI: https://research.matf.bg.ac.rs/handle/123456789/1837
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