Bayesovska statistika i primjene

Marković, Daniel (2014) Bayesovska statistika i primjene. Diploma thesis, Faculty of Science > Department of Mathematics.

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Abstract

In this work we introduced some basic concepts of Bayesian statistics. In the first chapter, we defined terms of probability and conditional probability, and then used them to state Bayes theorem, which is the cornerstone of Bayesian statistics. In the second chapter, we defined some basic terms of Bayesian statistics like apriori distribution, likelihood function and aposteriori distribution. The choice of apriori distribution is one of the main problems in bayesian statistics, so we dedicated the whole third chapter to it. In fourth chapter, we discussed parameter estimation, and defined Bayesian estimator for point estimate and Bayesian confidence intervals. In the last chapter, we deal with Bayesian hypothesis testing.

Item Type: Thesis (Diploma thesis)
Supervisor: Slijepčević, Siniša
Date: 2014
Number of Pages: 46
Subjects: NATURAL SCIENCES > Mathematics
Divisions: Faculty of Science > Department of Mathematics
Depositing User: Iva Prah
Date Deposited: 05 Jun 2015 11:10
Last Modified: 05 Jun 2015 11:10
URI: http://digre.pmf.unizg.hr/id/eprint/4010

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