Aleksić, D.G. (2026). U- and V- statistics for incomplete data and their application to model specification testing (Doctoral dissertation). University of Belgrade, Faculty of Mathematics, Belgrade, Serbia. Advisor: Prof. Bojana Milošević, PhD http://elibrary.matf.bg.ac.rs/bitstream/handle/123456789/5781/DanijelAleksicPhDThesis.pdf?sequence=1
Aleksić, D. (2022). The problem of missing data: Impact on statistical inference (Master’s thesis) (in Serbian). University of Belgrade, Faculty of Mathematics, Belgrade, Serbia. Advisor: Prof. Bojana Milošević, PhD http://elibrary.matf.bg.ac.rs/bitstream/handle/123456789/5465/DanijelAleksicMaster.pdf
Aleksić D.G., & Milošević, B. (2024). To
impute or not? Testing multivariate normality on incomplete dataset:
revisiting the BHEP test. Journal of Applied Statistics 52(9),
1742–1759.
https://doi.org/10.1080/02664763.2024.2438798
Aleksić, D. (2024). A novel test of missing
completely at random: U-statistics-based approach. Statistics,
58(4), p. 1004–1023.
https://doi.org/10.1080/02331888.2024.2386361
Aleksić D., Cuparić M., & Milošević, B.
(2023). Non-degenerate U-statistics for data missing completely
at random with application to testing independence. Stat 12(1),
e634.
https://doi.org/10.1002/sta4.634
Aleksić, D.G., Džamić, D., Milošević, B., & Obradović, M. (2026). Extending an Order-Statistic Characterization of the Exponential Distribution. https://arxiv.org/pdf/2607.13302
Aleksić, D. (2025). Testing MCAR via covariances: Extending the U-statistic framework to partially observed variables. https://arxiv.org/pdf/2501.05596
Aleksić, D.G., & Milošević, B. (2025). Two-Sample Testing with Missing Data via Energy Distance: Weighting and Imputation Approaches. https://arxiv.org/pdf/2508.11421