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- W4237292347 abstract "In this chapter, the authors provide a formal definition of Bayesian statistics and presents a few example problems by using Bayes formula. They consider some situations where there are more than two possible outcomes and looks at some of the consequences of different choices of priors. The choice of priors will prove to be a philosophical sticking point. The authors also examine the Monty Hall problem using the Bayes theorem. Bayesian calculations can lead to a very clear description of “the Prosecutor's fallacy.” This is best introduced by an example. Analogous to the Prosecutor's fallacy there is of course a Defendant's fallacy, and an untold number of variations on this theme. Thinking as a Bayesian rather than as a Frequentist, the authors examines the discussion of Gantt charts. They show that Bayesian calculations can be useful and not difficult to interpret for Gantt Charts and the like." @default.
- W4237292347 created "2022-05-12" @default.
- W4237292347 date "2019-07-26" @default.
- W4237292347 modified "2023-10-16" @default.
- W4237292347 title "Bayesian Statistics" @default.
- W4237292347 doi "https://doi.org/10.1002/9781119518143.ch11" @default.
- W4237292347 hasPublicationYear "2019" @default.
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