Application of the Bayesian Method in Statistical Modeling
Dublin Core
Title
Application of the Bayesian Method in Statistical Modeling
Subject
Statistics
Mathematics
Mathematics
Description
Bayesian statistics is a theory in the field of statistics based on the Bayesian interpretation of probability, where probability expresses a degree of belief in an event. Bayesian statistical methods use Bayes' theorem to compute and update probabilities after obtaining new data. Named after Thomas Bayes, Bayes' theorem (1973) describes the conditional probability of an event based on data, as well as prior information or beliefs about the event or conditions related to the event. This approach differs from other interpretations of probability, such as the frequentist interpretation, which views probability as the limit of the relative frequency of an event after many trials.
Creator
Diana Mindrila
Source
https://mdpi-res.com/bookfiles/book/11014/Application_of_the_Bayesian_Method_in_Statistical_Modeling.pdf?v=1755738668
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2025
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Diana Mindrila, “Application of the Bayesian Method in Statistical Modeling,” Open Educational Resource (OER) - USK Library, accessed January 31, 2026, http://oer.usk.ac.id/items/show/8985.