Theses

  1. 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. Advisor: Prof. Bojana Milošević, PhD
  2. Aleksić, D. (2022). The problem of missing data: Impact on statistical inference (Проблем недостајућих података: утицај на статистичко закључивање). Master’s thesis, University of Belgrade, Faculty of Mathematics. Advisor: Prof. Bojana Milošević, PhD (in Serbian)

Journal articles

  1. Aleksić, D., Milošević, B. (2025). 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

  2. 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

  3. 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

Preprints

  1. Aleksić, D. (2025). A generalization of a U-statistics-based MCAR Test: Utilizing Partially Observed Variables. https://arxiv.org/pdf/2501.05596
  2. 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

Conference papers

  1. Aleksić, D. (2021). Imputation of missing data in univariate time series (Imputacija nedostajućih podataka u jednodimenzionim vremenskim serijama). XLVIII nternational Symposium on Operational Research, Banja Koviljača, 20–23 September 2021 (in Serbian)