It looks like the corresponding author of this article (Didier Raoult) is also the Editor-in-Chief of the the journal (Clinical Microbiology and Infection), so it seems entirely possible that he might have relicensed…
The single paragraph in the postscript of this paper (part 6) is actually really important. It's very common for people who are using statistical testing in applied settings to entirely forget about type II error (and…
"Statistical modeling is a lot like engineering." I can certainly see why this is a good comparison, because it's true that both engineering methods and statistical methods rely on sets of given assumptions, but it's…
Point #7 is just referring to the magnitudes (or absolute values) of the coefficients. You can still determine which features are relatively important using the coefficient p-values if those are available. This of…
This consensus algorithm looks pretty good, but it seems it could get into trouble in cases where the distribution of outcomes is multimodal. One thing that is mentioned is that users would be reporting on several…
> Is the cautious approach then to treat a p-value in the absence of priors on the same level as a p-value in presence of unfavorable priors? In the presence of a poor prior the Bayesian probability would be biased in…
This is a nice little paper that provides a great introduction to machine teaching. I think the Socratic dialogue format was an excellent choice as it makes it very easy to follow. The big problem with machine teaching…
You're absolutely correct that Bayesian approaches are not magical and do not suddenly supply you with vastly more information than frequentist approaches (particularly when you have a really poor prior, in which case…
It's actually entirely possible to do some "checking of your answer" for p-values, as well. As you mentioned, for practical math, you can often validate your answer against the initial assumptions. This is true for…
The article is certainly correct that p-values and confidence intervals (or confidence sets, in multi-dimensional contexts) are widely misunderstood, not just in psychology or other social sciences, but in the hard…
It looks like the corresponding author of this article (Didier Raoult) is also the Editor-in-Chief of the the journal (Clinical Microbiology and Infection), so it seems entirely possible that he might have relicensed…
The single paragraph in the postscript of this paper (part 6) is actually really important. It's very common for people who are using statistical testing in applied settings to entirely forget about type II error (and…
"Statistical modeling is a lot like engineering." I can certainly see why this is a good comparison, because it's true that both engineering methods and statistical methods rely on sets of given assumptions, but it's…
Point #7 is just referring to the magnitudes (or absolute values) of the coefficients. You can still determine which features are relatively important using the coefficient p-values if those are available. This of…
This consensus algorithm looks pretty good, but it seems it could get into trouble in cases where the distribution of outcomes is multimodal. One thing that is mentioned is that users would be reporting on several…
> Is the cautious approach then to treat a p-value in the absence of priors on the same level as a p-value in presence of unfavorable priors? In the presence of a poor prior the Bayesian probability would be biased in…
This is a nice little paper that provides a great introduction to machine teaching. I think the Socratic dialogue format was an excellent choice as it makes it very easy to follow. The big problem with machine teaching…
You're absolutely correct that Bayesian approaches are not magical and do not suddenly supply you with vastly more information than frequentist approaches (particularly when you have a really poor prior, in which case…
It's actually entirely possible to do some "checking of your answer" for p-values, as well. As you mentioned, for practical math, you can often validate your answer against the initial assumptions. This is true for…
The article is certainly correct that p-values and confidence intervals (or confidence sets, in multi-dimensional contexts) are widely misunderstood, not just in psychology or other social sciences, but in the hard…