Â©Â Robert JohanssonÂ 2015RobertÂ JohanssonNumerical Pythonhttps://doi.org/10.1007/978-1-4842-0553-2_16
In this chapter we explore an alternative interpretation of statistics â Bayesian statistics â and the methods associated with this interpretation. Bayesian statistics, in contrast to the frequentistâs 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 ...