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Kuku
  • Member for 5 years, 5 months
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Erring my way through the world of statistics.

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All Questions Answers
Score Newest
question
18
In regression, why not use regularization by default?
Jan 2, 2020
answer
10
Explain in layperson's terms why predictive models aren't causally interpretable
Dec 1, 2021
answer
8
Why highly correlated means higher variance?
May 3, 2020
question
7
In linear regression, why are raw least squares residuals heteroskedastic?
Apr 17, 2019
question
5
How to make sense out of integration over discrete data points?
Jun 16, 2019
question
5
Informational value of R squared and correlation? [closed]
Apr 14, 2020
answer
4
How to calculate effect size for a pretest-posttest-control design study?
May 19, 2021
question
3
What's the role of the data in Gibbs Sampling?
Jun 19, 2019
question
3
Difference between removing outliers and using Least Trimmed Squares?
Aug 13, 2020
question
3
Disadvantages of using random effects modeling by default?
May 4, 2021

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