Bayesian Linear Regression - PhD Project

Abstract

Bayesian methods are an alternative to standard frequentist methods and as a result have gained popularity. This report will display some of the fundamental ideas in Bayesian modelling and will present both the theory behind Bayesian statistics and some practical examples of Bayesian linear regression. Simulated data and real-world data were used to construct the models using both R code and Python.

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