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usεr11852

Manchester, UK

Empiricist - trying to be rational.

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Top Questions
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Top Answers
54
Are there cases where PCA is more suitable than t-SNE?
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44
Why is ANOVA equivalent to linear regression?
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42
How to generate correlated random numbers (given means, variances and degree of correlation)?
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36
“Model failed to converge” warning in lmer()
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30
Binary classification with strongly unbalanced classes
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29
Prerequisites for AIC model comparison
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27
Why is t-SNE not used as a dimensionality reduction technique for clustering or classification?
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23
Is the average of positive-definite matrices also positive-definite?
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22
How can I test whether a random effect is significant?
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20
What kind of information is Fisher information?
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18
How do I interpret this fitted vs residuals plot?
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17
PCA iteratively finds directions of greatest variance; but how to find a whole subspace with greatest variance?
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17
Choosing the hyperparameters using T-SNE for classification
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17
What is wrong with extrapolation?
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14
Updating SVD decomposition after adding one new row to the matrix
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14
Machine learning cookbook / reference card / cheatsheet?
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14
Why uppercase for $X$ and lowercase for $y$?
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13
How to choose the right optimization algorithm?
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13
What is the difference between multinomial and ordinal logistic regression?
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13
Why the default matrix norm is spectral norm and not Frobenius norm?
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12
What are efficient algorithms to compute singular value decomposition (SVD)?
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12
Does an Rcpp-dependent package require a GPL license?
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12
Why is Average Treatment Effect different from Average Treatment effect on the Treated?
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12
Why I am getting different predictions for manual polynomial expansion and using the R `poly` function?
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11
What makes a classifier misclassify data?
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11
The origin of the Wilkinson-style notation such as (1|id) for random effects in mixed models formulae in R
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11
What does that statistically mean , if $(X'X)^{-1}$ does not exist?
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10
What is the meaning of super script 2 subscript 2 within the context of norms?
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10
Difference between local regression and moving average for smoothing
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10
Choosing number of principal components to retain
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