Popper requires you to posit null hypotheses to falsify (although there are different schools of thought on what exactly you need to specify in advance [1]).
Bayesianism requires you to assume / formalize your prior belief about the subject under investigation and updates it given some data, resulting in a posterior belief distribution. It thus does not have the clear distinctions of frequentism, but that can also be considered an advantage.
Bayesianism requires you to assume / formalize your prior belief about the subject under investigation and updates it given some data, resulting in a posterior belief distribution. It thus does not have the clear distinctions of frequentism, but that can also be considered an advantage.
[1] https://web.mit.edu/hackl/www/lab/turkshop/readings/gigerenz...