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Study design synopsis: Battle in the stable: Bayesianism versus Frequentism
Author(s) -
Detilleux Johann
Publication year - 2021
Publication title -
equine veterinary journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.82
H-Index - 87
eISSN - 2042-3306
pISSN - 0425-1644
DOI - 10.1111/evj.13351
Subject(s) - bayes' theorem , key (lock) , battle , extension (predicate logic) , bayesian probability , management science , computer science , psychology , artificial intelligence , geography , computer security , engineering , archaeology , programming language
Frequentism dominates scientific practice although Bayesianism may provide an alternative, especially when analysing data from complex, high‐dimensional models. The key differences between Bayesianism and Frequentism are highlighted in the introduction. Next, I review the different stages of Bayesian statistical reasoning in a research setting, explain the key concepts and illustrate them with toy examples taken in equine veterinary medicine. An extension to more complex models (Bayes network) is introduced and guidelines are offered as a conclusion.

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