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Introduction to Bayesian Data Analysis
Štádlerová, Kateřina ; Kulich, Michal (advisor) ; Anděl, Jiří (referee)
of the bachelor's thesis Title: Introduction to Bayesian Data Analysis Author: Kateřina Štádlerová Department: Department of Probability and Mathematical Statistics Supervisor: doc. Mgr. Michal Kulich, Ph.D., Department of Probability and Mathematical Statistics Abstract: The paper deals with basic principles of Bayesian methods. These me- thods have very broad range of use in statistical problems concerning estimation and hypothesis testing. However, their use is much wider; these methods are used in anti-spam filters of electronic mail or in the game theory. Definitions, theo- rems, proofs and examples are included in the paper for this purpose to enable easier understanding of particular topics. The paper is helpful mainly because of the fact that as yet there are not many books in Czech language dealing with Bayesian methods. 1
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Mortality projections by cause
Štádlerová, Kateřina ; Kořistka, Jan (advisor) ; Cipra, Tomáš (referee)
The thesis focuses on the mortality projections by causes of death. The thesis includes also the application of such knowledge on the data of the Czech population. The mortality projections are used nowadays more and more often due to the population ageing. The results of this thesis may be interesting both for financial institutions such as insurance companies and for the purposes of certain areas of government policy with regards to the pension planning. So far not many articles have been published in the Czech language, nor are there any published results of similar projections using the data derived from the Czech environment. Powered by TCPDF (www.tcpdf.org)
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Mortality projections by cause
Štádlerová, Kateřina ; Kořistka, Jan (advisor) ; Cipra, Tomáš (referee)
The thesis focuses on the mortality projections by causes of death. The thesis includes also the application of such knowledge on the data of the Czech population. The mortality projections are used nowadays more and more often due to the population ageing. The results of this thesis may be interesting both for financial institutions such as insurance companies and for the purposes of certain areas of government policy with regards to the pension planning. So far not many articles have been published in the Czech language, nor are there any published results of similar projections using the data derived from the Czech environment. Powered by TCPDF (www.tcpdf.org)
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Introduction to Bayesian Data Analysis
Štádlerová, Kateřina ; Kulich, Michal (advisor) ; Anděl, Jiří (referee)
of the bachelor's thesis Title: Introduction to Bayesian Data Analysis Author: Kateřina Štádlerová Department: Department of Probability and Mathematical Statistics Supervisor: doc. Mgr. Michal Kulich, Ph.D., Department of Probability and Mathematical Statistics Abstract: The paper deals with basic principles of Bayesian methods. These me- thods have very broad range of use in statistical problems concerning estimation and hypothesis testing. However, their use is much wider; these methods are used in anti-spam filters of electronic mail or in the game theory. Definitions, theo- rems, proofs and examples are included in the paper for this purpose to enable easier understanding of particular topics. The paper is helpful mainly because of the fact that as yet there are not many books in Czech language dealing with Bayesian methods. 1
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