Abstract
Bayesian Statistics, a technique that has become very popular for many types of machine learning, starts out with a new view at statistical data: it takes the observed data as fixed and looks at the likelihood to find certain model parameters. This chapter introduces Bayesian Statistics and provides a worked example using the Python package “PyMC” showing how Bayesian Statistics can provide more information than classical statistical modeling.
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Haslwanter, T. (2022). Bayesian Statistics. In: An Introduction to Statistics with Python. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-97371-1_14
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DOI: https://doi.org/10.1007/978-3-030-97371-1_14
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-97371-1
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