© Robert Johansson 2015
Robert JohanssonNumerical Pythonhttps://doi.org/10.1007/978-1-4842-0553-2_16

16. Bayesian Statistics

Robert Johansson1 
Chiba, Chiba, Japan
In this chapter we explore an alternative interpretation of statistics – Bayesian statistics – and the methods associated with this interpretation. Bayesian statistics, in contrast to the frequentist’s statistics that we used in Chapter 13 and Chapter 14, treat probability as a degree of belief rather than as a measure of proportions of observed outcomes. This different point of view gives rise to distinct statistical methods that can be used in problem solving. While it is generally true that statistical problems can in principle be solved using either frequentist or ...

Get Numerical Python : A Practical Techniques Approach for Industry now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.