Comments on Would the following stats topics be in the scope of the math community?
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Would the following stats topics be in the scope of the math community?
Hello,
I've read the thread Scope of site (comparison with CrossValidated), and started thinking about launching a proposal for a "statistics" community on codidact (but maybe others have already thought about it?).
I identified the following topics that might not be in the scope of the math community, but I wonder what more experienced users than me think about it:
- correct use of statistical methods and their interpretation
- meta-analysis
- sampling methods
- prior elicitation
- data mining
- natural language processing
- study design
- simulation
- data visualization
- ethics in statistics
- careers in statistics
- ...
There may be other topics I did not think of.
Here are more specific examples of questions taken from Cross Validated:
- When to use Fisher versus Neyman-Pearson framework?
- Principled way of collapsing categorical variables with many levels?
- How to interpret a QQ plot?
- Is there a good reason for a lab to repeat experiments instead of conducting a single larger blocked experiment?
- Using post-stratification weights in R survey package
- Recommend references on survey sample weighting
- Why are p-values misleading after performing a stepwise selection?
- Why does finding small effects in large studies indicate publication bias?
- Eliciting priors from experts
- Avoiding social discrimination in model building
- What are some good references on the history of ethics in statistics?
- How to simulate artificial data for logistic regression?
- Simulation of logistic regression power analysis - designed experiments
- Why is skip-gram better for infrequent words than CBOW?
- How does Keras 'Embedding' layer work?
- How is the .similarity method in SpaCy computed?
- How to produce a pretty plot of the results of k-means cluster analysis?
- When are Log scales appropriate?
- Having a job in data-mining without a PhD
My underlying question is probably more something along the lines of "In the light of the above examples, do you think there is some room for a stats community on codidact? Or is it already in the scope of the math community?"
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Being somewhat active at CrossValidated (and actually a mathematician by training), I would say that:
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Statistics, as per the scope you outline and per about 98% of the activity at CV, is not a subset of math, so no, I would say that this content is already in scope here. (This is of course not to say that statistics in the sense of measure theory, probability etc. are off-topic here.)
Plus: people who have this kind of question will not believe they will find an answer at a math site.
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I absolutely think there is room for a stats site at Codidact, with the scope you outline. (Maybe add topics like forecasting, classification etc.)
FWIW, I will gladly commit to contributing at any such site here.
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