Dikran Marsupial

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Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

bayesian confidence-interval asked Sep 3, 2010 at 18:23

stats.stackexchange.com

57 votes

Should an Editor in Chief publish in their own journal?

journals ethics editors asked May 18, 2013 at 10:06

academia.stackexchange.com

44 votes

If a program does not compile, should it get a mark of zero?

programming undergraduate grading auto-graders asked May 12, 2022 at 9:08

cseducators.stackexchange.com

35 votes

Who invented k-fold cross-validation?

cross-validation references history asked Apr 18, 2012 at 16:48

stats.stackexchange.com

14 votes

How do you know that your classifier is suffering from class imbalance?

classification unbalanced-classes asked Aug 9, 2021 at 14:05

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12 votes

Are there Imbalanced learning problems where re-balancing/re-weighting demonstrably improves accuracy?

unbalanced-classes asked Jan 5, 2022 at 10:29

stats.stackexchange.com

12 votes

Is there a Good Illustrative Example where the Hinge Loss (SVM) Gives a Higher Accuracy than the Logistic Loss

logistic svm accuracy asked Mar 23, 2022 at 11:47

stats.stackexchange.com

12 votes

What effect will AI tools like Codex and CoPilot have on teaching programming (and admissions)

programming artificial-intelligence programming-environment asked Apr 7, 2022 at 10:50

cseducators.stackexchange.com

10 votes

How do I respond to a review of the wrong version of my paper?

journals peer-review asked Oct 13, 2012 at 17:16

academia.stackexchange.com

9 votes

What are the advantages of Multiple Kernel Learning (MKL) methods?

machine-learning svm kernel-trick asked Jan 11, 2013 at 16:18

stats.stackexchange.com

Top Answers

180

What if residuals are normally distributed, but y is not?

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152

Training on the full dataset after cross-validation?

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145

Why does a 95% Confidence Interval (CI) not imply a 95% chance of containing the mean?

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145

Bayesian and frequentist reasoning in plain English

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104

Feature selection and cross-validation

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What is the difference between a multiclass and a multilabel problem?

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Is overfitting "better" than underfitting?

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How to select kernel for SVM?

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Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

stats.stackexchange.com

Should your PhD students call you by your first name?

academia.stackexchange.com

How can I help ensure testing data does not leak into training data?

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Does an unbalanced sample matter when doing logistic regression?

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Optimal number of folds in $K$-fold cross-validation: is leave-one-out CV always the best choice?

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SVM, Overfitting, curse of dimensionality

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How to choose the number of hidden layers and nodes in a feedforward neural network?

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What are alternatives of Gradient Descent?

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How many trees would I have to plant to solve Global Warming?

earthscience.stackexchange.com

10-fold Cross-validation vs leave-one-out cross-validation

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Most famous statisticians

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Feature selection for "final" model when performing cross-validation in machine learning

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Nested cross validation for model selection

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Why is Dawkins not respected amongst philosophers?

philosophy.stackexchange.com

Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?

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Most famous statisticians

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Advantages and disadvantages of SVM

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Area under curve of ROC vs. overall accuracy

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Would a Bayesian admit that there is one fixed parameter value?

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What is the influence of C in SVMs with linear kernel?

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How does cross-validation overcome the overfitting problem?

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Is supervisor bound to clarify the technical queries of a Ph.D. researcher?

academia.stackexchange.com