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usεr11852

Manchester, UK

Empiricist - trying to be rational.

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Top Questions
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Top Answers
105
Are there cases where PCA is more suitable than t-SNE?
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99
"Model failed to converge" warning in lmer()
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62
Why is ANOVA equivalent to linear regression?
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60
Why is Average Treatment Effect different from Average Treatment effect on the Treated?
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55
How to generate correlated random numbers (given means, variances and degree of correlation)?
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49
What is "baseline" in precision recall curve
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43
Why is t-SNE not used as a dimensionality reduction technique for clustering or classification?
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39
Binary classification with strongly unbalanced classes
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38
Prerequisites for AIC model comparison
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37
What does it mean that AUC is a semi-proper scoring rule?
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32
How can I test whether a random effect is significant?
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31
What is an intuitive interpretation of the leaf values in XGBoost base learners?
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30
Why uppercase for $X$ and lowercase for $y$?
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28
how to avoid overfitting in XGBoost model
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27
Is the average of positive-definite matrices also positive-definite?
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27
Updating SVD decomposition after adding one new row to the matrix
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25
What kind of information is Fisher information?
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23
What important ideas came since Nelder and McCullagh's book Generalized Linear Models (a 40 year old book)?
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23
What is the difference between multinomial and ordinal logistic regression?
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23
Classification XGBoost vs Logistic Regression
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22
What is the meaning of super script 2 subscript 2 within the context of norms?
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21
Is AICc ever worse than AIC?
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20
Choosing the hyperparameters using T-SNE for classification
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20
What is wrong with extrapolation?
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20
Which comes first - domain expertise or an experimental approach?
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20
How to choose the right optimization algorithm?
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20
Analysed non-linear data with GAM regression, but reviewer has suggested fitting exponential or logarithmic curves instead. Which to use?
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20
How do I interpret this fitted vs residuals plot?
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19
PCA iteratively finds directions of greatest variance; but how to find a whole subspace with greatest variance?
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19
What are efficient algorithms to compute singular value decomposition (SVD)?
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