bayesian_trout

3 ms·

1. 1.▲
   by bayesian_trout 2y ago

   I mean, the biggest assumptions that most influence the inferences one makes are rarely "statistical" in the sense that they can actually be incorporated in a particular analysis via a prior. They tend to be structural assumption
2. 2.▲
   by bayesian_trout 2y ago

   This is not a statistics problem, but instead an ethics problem, ha.
3. 3.▲
   by bayesian_trout 2y ago

   hard to accidentally glue a frequentist model together with a prior ;)
4. 4.▲
   by bayesian_trout 2y ago

   fair :)
5. 5.▲
   by bayesian_trout 2y ago

   If you want to get an informed opinion on modern Frequentist methods check out the book "In All Likelihood" by Yudi Pawitawn. In an early chapter it outlines, rather eloquently, the distinctions between the Frequentist and Bayesia