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In the frequentist approach to inference, statistical procedures are assessed by their performance over a hypothetical long run of repetitions of a process deemed to have generated the data.

0 votes
1 answer
22 views

Is a Bayesian framework more in keeping with neurobiologic processes? [closed]

assumption that every human thought, hypothesis and theory must first exist as a specific connection between neurons, is a Bayesian statistical framework more neurobiologically coherent and plausible than a frequentist
Giuseppe Biondi-Zoccai's user avatar
7 votes
2 answers
875 views

Is the frequentist framework more appropriate than the Bayesian one, according to Popper's t...

In keeping with these theoretical premises, which statistical framework is more appropriate, the frequentist or the Bayesian? …
Giuseppe Biondi-Zoccai's user avatar
2 votes

ASA discusses limitations of $p$-values - what are the alternatives?

My choice would be to continue using p values, but simply adding confidence/credible intervals, and possibly for the primary outcomes prediction intervals. There is a very nice book by Douglas Altman …
Giuseppe Biondi-Zoccai's user avatar
7 votes
3 answers
37k views

Upper case (P) or lower case (p) to denote p-values and probabilities in frequentist and Bay...

"p" for both frequentist and Bayesian analyses? "P" for both frequentist and Bayesian analyses? "p" for frequentist analyses and "P" for Bayesian analyses? … or "P" for frequentist analyses and "p" for Bayesian analyses? …
Giuseppe Biondi-Zoccai's user avatar
34 votes
8 answers
4k views

Should I teach Bayesian or frequentist statistics first?

Before beginning, though, I have a particular question with very general implications: Should we begin teaching statistics using a Bayesian or frequentist framework? … Researching around I have seen that a common approach is beginning with a brief introduction on frequentist statistics followed by an in depth discussion of Bayesian statistics (e.g. Stangl). …
Giuseppe Biondi-Zoccai's user avatar