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undergraduate thesis
Bayesov teorem
2022. urn:nbn:hr:190:162423
Peša, Valerija
University of Rijeka
Faculty of Engineering

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Peša, V. (2022). Bayesov teorem (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:162423

Peša, Valerija. "Bayesov teorem." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2022. https://urn.nsk.hr/urn:nbn:hr:190:162423

Peša, Valerija. "Bayesov teorem." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2022. https://urn.nsk.hr/urn:nbn:hr:190:162423

Peša, V. (2022). 'Bayesov teorem', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 10 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:162423

Peša V. Bayesov teorem [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2022 [cited 2024 November 10] Available at: https://urn.nsk.hr/urn:nbn:hr:190:162423

V. Peša, "Bayesov teorem", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:190:162423

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Metadata
TitleBayesov teorem
Title (english)Bayes' theorem
AuthorValerija Peša
MentorIvan Dražić (mentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberIvan Dražić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2022-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U završnom radu definirane su osnove vjerojatnosti koje čine temelj Bayesovu teoremu. Pojašnjene su operacije na prostoru događaja i De Morganov zakon. Definirani su aksiomi vjerojatnosti, klasična definicija vjerojatnosti te svojstva vjerojatnosti. Uvjetna vjerojatnost i nezavisni događaji objašnjeni su matematičkom definicijom i svojstvima, te primjenom u primjerima. Pokazani su potpun sustav događaja i zakon potpune vjerojatnosti, te njihova primjena. Objašnjenje Bayesova teorema dano je matematičkom definicijom i raznim primjerima koji opisuju njegovu praktičnu primjenu.
Abstract (english)
In final thesis there are defined basis of probability that are foundation of Bayes' theorem. There are explained operations on sample space and De Morgan's law. Probability axioms, probability space and classical definition of probability are defined. Conditional probability and indepedent events are clarified with its mathematical definition and properties, as well as its application in examples. Sample space, and law of total probability are illustrated and applied. Explenation of Bayes' theorem is given with mathematical defiinition and various examples that describe its practical application.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:162423
Study programmeTitle: Undergraduate University Study of Electrical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2022-09-20 13:15:28