Thesis (Selection of subject)Thesis (Selection of subject)(version: 390)
Thesis details
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Wild binary segmentation
Thesis title in Czech: Divoká binární segmentace
Thesis title in English: Wild binary segmentation
Key words: více bodů změny|detekce bodů změny|binární segmentace|randomizované algoritmy|informační kritérium
English key words: multiple change-points|change-point detection|binary segmentation|randomised algorithms|information criterion
Academic year of topic announcement: 2023/2024
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: doc. RNDr. Michal Pešta, Ph.D.
Author: Bc. Jakub Lasota - assigned and confirmed by the Study Dept.
Date of registration: 30.10.2023
Date of assignment: 30.10.2023
Confirmed by Study dept. on: 30.10.2023
Date and time of defence: 26.06.2024 08:30
Date of electronic submission:09.05.2024
Date of submission of printed version:09.05.2024
Date of proceeded defence: 26.06.2024
Opponents: doc. RNDr. Matúš Maciak, Ph.D.
 
 
 
Guidelines
Práce se bude zabývat technikou nazývanou divoká binární segmentace (wild binary segmentation - WBS), která slouží na konzistentní odhad počtu a umístění vícenásobných změnových bodů v datech. Teoretické přístupy pak budou aplikovány na reálná data nebo porovnány pomocí simulační studie.
References
[1] Baranowski, R., Chen, Y., and Fryzlewicz, P. (2019). Narrowest-Over-Threshold detection of multiple change-points and change-point-like features. Journal of the Royal Statistical Society Series B, 81, 649-672.
[2] Fryzlewicz, P. (2014). Wild binary segmentation for multiple change-point detection. Annals of Statistics, 42, 2243-2281.
[3] Fryzlewicz, P. (2018). Tail-greedy bottom-up data decompositions and fast multiple change-point detection. Annals of Statistics, 46, 3390-3421.
 
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