Thesis (Selection of subject)Thesis (Selection of subject)(version: 384)
Thesis details
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Halfspace depth for location and scatter: robustness and minimax optimality
Thesis title in Czech: Poloprostorová hloubka lokace a disperze: robustnost a minimax optimalita
Thesis title in English: Halfspace depth for location and scatter: robustness and minimax optimality
Key words: vícerozměrná analýza|poloprostorová hloubka|poloprostorová hloubka disperze|robustnost|minimax optimalita
English key words: multivariate analysis|halfspace depth|scatter halfspace depth|robustness|minimax optimality
Academic year of topic announcement: 2023/2024
Thesis type: diploma thesis
Thesis language: angličtina
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. Mgr. Stanislav Nagy, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 16.10.2023
Date of assignment: 18.10.2023
Confirmed by Study dept. on: 18.10.2023
Date and time of defence: 05.09.2024 09:10
Date of electronic submission:18.07.2024
Date of submission of printed version:18.07.2024
Date of proceeded defence: 05.09.2024
Opponents: doc. RNDr. Daniel Hlubinka, Ph.D.
 
 
 
Guidelines
Riešiteľ popíše a porovná klasickú polopriestorovú hĺbku pre viacrozmerné dáta s jej variantou pre disperzné matice náhodných vektorov. Príslušné koncepty mediánu budú vyšetrované z hľadiska robustnosti.
References
Donoho, D. L. and Gasko, M. (1992). Breakdown properties of location estimates based on halfspace depth and projected outlyingness. Ann. Stat. 20 1803–1827.
D. Paindaveine, G. Van Bever (2018). Halfspace depths for scatter, concentration and shape matrices. Ann. Stat. 46, 3276–3307.
M. Chen, C. Gao, Z. Ren (2018). Robust covariance and scatter matrix estimation under Huber’s contamination model. Ann. Stat. 46, 1932–1960.
 
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