Model-based Clustering of Multivariate Longitudinal Data of a Mixed Type
Thesis title in Czech: | Modelově založené shlukování vícerozměrných longitudinálních dat smíšeného typu |
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Thesis title in English: | Model-based Clustering of Multivariate Longitudinal Data of a Mixed Type |
Key words: | modelově založené shlukování|MCMC|longitudinální data|GLMM|smíšený typ |
English key words: | model-based clustering|MCMC|longitudinal data|GLMM|mixed type |
Academic year of topic announcement: | 2022/2023 |
Thesis type: | rigorosum thesis |
Thesis language: | angličtina |
Department: | Department of Probability and Mathematical Statistics (32-KPMS) |
Supervisor: | doc. RNDr. Arnošt Komárek, Ph.D. |
Author: | hidden - assigned and confirmed by the Study Dept. |
Date of registration: | 17.01.2023 |
Date of assignment: | 17.01.2023 |
Confirmed by Study dept. on: | 17.01.2023 |
Date and time of defence: | 13.02.2023 00:00 |
Date of electronic submission: | 17.01.2023 |
Date of submission of printed version: | 17.01.2023 |
Date of proceeded defence: | 13.02.2023 |
Guidelines |
Budou vyvinuty Bayesovské přístupy k výběru proměnných v kontextu modelů pro longitudinální data. Budou zkoumány teoretické vlastnosti vyvíjených postupů, které budou též softwarově implementovány. |
References |
George, E. I. and McCulloch, R. (1997). Approaches for Bayesian variable selection. Statistica Sinica, 7, 339–373.
Griffin, J. E. and Brown, P. J. (2010). Inference with normal-gamma prior distributions in regression problems. Bayesian Analysis, 5, 1339–1349. Ishwaran, H. and Rao, S. J. (2005). Spike and slab variable selection; frequentist and Bayesian strategies. The Annals of Statistics, 33, 730–773. |