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.
Questions tagged [frequentist]
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Bayesian and frequentist reasoning in plain English
How would you describe in plain English the characteristics that distinguish Bayesian from Frequentist reasoning?
Daniel Vassallo
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What's the difference between a confidence interval and a credible interval?
Joris and Srikant's exchange here got me wondering (again) if my internal explanations for the difference between confidence intervals and credible intervals were the correct ones. How you would explain the difference?
Matt Parker
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What's wrong with XKCD's Frequentists vs. Bayesians comic?
This xkcd comic (Frequentists vs. Bayesians) makes fun of a frequentist statistician who derives an obviously wrong result.
However it seems to me that his reasoning is actually correct in the sense that it follows the standard frequentist…
repied2
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ASA discusses limitations of $p$-values - what are the alternatives?
We already have multiple threads tagged as p-values that reveal lots of misunderstandings about them. Ten months ago we had a thread about psychological journal that "banned" $p$-values, now American Statistical Association (2016) says that with our…
Tim
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Who Are The Bayesians?
As one becomes interested in statistics, the dichotomy "Frequentist" vs. "Bayesian" soon becomes commonplace (and who hasn't read Nate Silver's The Signal and the Noise, anyway?). In talks and introductory courses, the point of view is…
Antoni Parellada
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When (if ever) is a frequentist approach substantively better than a Bayesian?
Background: I do not have an formal training in Bayesian statistics (though I am very interested in learning more), but I know enough--I think--to get the gist of why many feel as though they are preferable to Frequentist statistics. Even the…
jsakaluk
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Is there any *mathematical* basis for the Bayesian vs frequentist debate?
It says on Wikipedia that:
the mathematics [of probability] is largely independent of any interpretation of probability.
Question: Then if we want to be mathematically correct, shouldn't we disallow any interpretation of probability? I.e., are…
Chill2Macht
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What is a good, convincing example in which p-values are useful?
My question in the title is self explanatory, but I would like to give it some context.
The ASA released a statement earlier this week “on p-values: context, process, and purpose”, outlining various common misconceptions of the p-value, and urging…
Tal Galili
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Where did the frequentist-Bayesian debate go?
The world of statistics was divided between frequentists and Bayesians. These days it seems everyone does a bit of both. How can this be? If the different approaches are suitable for different problems, why did the founding fathers of statistics did…
JohnRos
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List of situations where a Bayesian approach is simpler, more practical, or more convenient
There have been many debates within statistics between Bayesians and frequentists. I generally find these rather off-putting (although I think it has died down). On the other hand, I've met several people who take an entirely pragmatic view of the…
gung - Reinstate Monica
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Examples of Bayesian and frequentist approach giving different answers
Note: I am aware of philosophical differences between Bayesian and frequentist statistics.
For example "what is the probability that the coin on the table is heads" doesn't make sense in frequentist statistics, since it has either already landed…
user541686
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Who are frequentists?
We already had a thread asking who are Bayesians and one asking if frequentists are Bayesians, but there was no thread asking directly who are frequentists? This is a question that was asked by @whuber as a comment to this thread and it begs to be…
Tim
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Why is a Bayesian not allowed to look at the residuals?
In the article "Discussion: Should Ecologists Become Bayesians?" Brian Dennis gives a surprisingly balanced and positive view of Bayesian statistics when his aim seems to be to warn people about it. However, in one paragraph, without any citations…
Mankka
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Why does frequentist hypothesis testing become biased towards rejecting the null hypothesis with sufficiently large samples?
I was just reading this article on the Bayes factor for a completely unrelated problem when I stumbled upon this passage
Hypothesis testing with Bayes factors is more robust than frequentist hypothesis testing, since the Bayesian form avoids model…
Louis Thibault
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Bayesian vs frequentist Interpretations of Probability
Can someone give a good rundown of the differences between the Bayesian and the frequentist approach to probability?
From what I understand:
The frequentists view is that the data is a repeatable random sample (random variable) with a specific…
BYS2
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