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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_16

16. Bayesian Statistics

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

This chapter explores an alternative interpretation of statistics—Bayesian statistics—and the methods associated with this interpretation. In contrast to the frequentist statistics used in Chapter 13 and Chapter 14, Bayesian statistics treats probability as a degree of belief rather than as a measure of the proportions of observed outcomes. This different point of view gives rise to distinct statistical methods we can use in problem-solving. While it is generally true that statistical problems can, in principle, ...

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Publisher Resources

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