Thesis (Selection of subject)Thesis (Selection of subject)(version: 393)
Thesis details
   Login via CAS
Hloubka kompozičních dat
Thesis title in Czech: Hloubka kompozičních dat
Thesis title in English: Depth of compositional data
Key words: neparametrická statistika|vícerozměrná data|kompoziční data|hloubka
English key words: nonparametric statistics|multivariate data|compositional data|depth
Academic year of topic announcement: 2025/2026
Thesis type: diploma thesis
Thesis language:
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. Mgr. Stanislav Nagy, Ph.D.
Author:
Guidelines
Riešiteľ(ka) sa zoznámi so základmi analýzy kompozičných dát, a preskúma možnosti zavedenia (variánt) klasických hĺbkových funkcií pre prípad pravdepodobnostných rozdelení na simplexe.
References
Greenacre, M. (2021). Compositional data analysis. Annual Review of Statistics and its Application, 8(1), 271-299.
Pawlowsky-Glahn, V., Egozcue, J. J., & Tolosana-Delgado, R. (2015). Modeling and analysis of compositional data. John Wiley & Sons.
Filzmoser, P., Hron, K., & Templ, M. (2018). Applied compositional data analysis. Cham: Springer.
Nagy, S. (2025). Halfspace Depth. Wiley Interdisciplinary Reviews: Computational Statistics, 17(3), e70038.
Zuo, Y., & Serfling, R. (2000). General notions of statistical depth function. Annals of statistics, 461-482.
Dai, X., Lopez-Pintado, S., & Alzheimer’s Disease Neuroimaging Initiative. (2023). Tukey’s depth for object data. Journal of the American Statistical Association, 118(543), 1760-1772.

 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html