Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1854
Title: Testing independence for circular data: Energy-based approach
Authors: Ebner, B.
Cuparić, Marija 
Milošević, Bojana 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Issue Date: 2023
Rank: M32
Related Publication(s): 16th International Conference of the ERICM WG on Computational and Methodological Statistics (CMStatistics 2023)
Conference: CMStatistics(16 ; 2023 ; Berlin)
Abstract: 
Circular data is prevalent in various fields of applied research, making the problem of testing independence within these data structures highly significant. In this regard, test statistics are examined based on energy distance and delve into their properties within this context. Generalizations of the test statistics are also explored, drawing key conclusions and recommendations.
URI: https://research.matf.bg.ac.rs/handle/123456789/1854
Appears in Collections:Research outputs

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