20.500.12556/RUL-165248 Bayesov pristop k analizi preživetja delo diplomskega seminarja Bayesian approach to survival analysis In the first part of this thesis, we introduce the basics of survival analysis and its key concepts such as data censoring. We then introduce Bayesian statistics, comparing it to the frequentist approach through a simple example. We derive the exponential and Weibull models, expanding both into regression models. Here, we are met with the use of MCMC methods, which we explain in detail. Finally, we apply the developed theory to a real-world case by conducting a survival analysis of heart failure patients. In the first part of this thesis, we introduce the basics of survival analysis and its key concepts such as data censoring. We then introduce Bayesian statistics, comparing it to the frequentist approach through a simple example. We derive the exponential and Weibull models, expanding both into regression models. Here, we are met with the use of MCMC methods, which we explain in detail. Finally, we apply the developed theory to a real-world case by conducting a survival analysis of heart failure patients. analiza preživetja krnjenje Bayesova statistika Monte-Carlo z markovskimi verigami survival analysis censoring Bayesian statistics Markov chain Monte Carlo true false false Slovenski jezik Angleški jezik Delo diplomskega seminarja/zaključno seminarsko delo/naloga 2024-11-28 08:15:04 2024-11-28 08:15:05 2025-07-10 13:59:00 0000-00-00 00:00:00 2024 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.2 149822 216991491 16585.pdf 16585.pdf 1 CACFFB366FAB880BB905762535269C1C fcf58f9324e85c63edc9f823cf54a1766a43e1af563deaecfb8a108fb8fb5815 1433b5b6-ad58-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196308 Fakulteta za matematiko in fiziko 0 0 0