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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.
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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 …
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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? …
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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? …
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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). …
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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 …