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Demystifying Bayesian models using Bayesian linear regression
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Bayesian models are very important in modern data science. These models can be used to derive estimatesfor noisy and sparse data. This manuscript outlines the basics and derivations of a Bayesian linearregression model. Source code for performing Bayesian linear regression is also provided. I hope this willenable broader understanding of the basics of Bayesian models and help demystify it for scientists.
Title: Demystifying Bayesian models using Bayesian linear regression
Description:
Bayesian models are very important in modern data science.
These models can be used to derive estimatesfor noisy and sparse data.
This manuscript outlines the basics and derivations of a Bayesian linearregression model.
Source code for performing Bayesian linear regression is also provided.
I hope this willenable broader understanding of the basics of Bayesian models and help demystify it for scientists.
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