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DeltaIV

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Top Questions
30 votes

Consequences of the Gaussian correlation inequality for computing joint confidence intervals

normal-distribution confidence-interval multivariate-normal asked Mar 29 '17 at 19:10
stats.stackexchange.com

29 votes

What should I do when my neural network doesn't generalize well?

neural-networks deep-learning asked Sep 7 '18 at 9:12
stats.stackexchange.com

22 votes

Showing that 100 measurements for 5 subjects provide much less information than 5 measurements for 100 subjects

mixed-model variance repeated-measures sample-size intraclass-correlation asked Jul 30 '17 at 18:17
stats.stackexchange.com

20 votes

What are attention mechanisms exactly?

time-series deep-learning lstm rnn attention asked May 4 '18 at 17:20
stats.stackexchange.com

20 votes

Simplest way to delete a “composite” word?

cursor-motions normal-mode asked Nov 5 '18 at 10:00
vi.stackexchange.com

17 votes

What's the name of the logical fallacy where a debater extends a statement far beyond the original statement to make it true?

logic fallacies asked Mar 20 at 12:31
philosophy.stackexchange.com

15 votes

What is it meant with the $\sigma$-algebra generated by a random variable?

probability random-variable sigma-algebra asked Nov 7 '17 at 15:45
stats.stackexchange.com

15 votes

Associate ipynb files with Jupyter notebook in Windows 10 (Anaconda)

windows anaconda jupyter-notebook jupyter asked Nov 13 '17 at 15:32
stackoverflow.com

14 votes

Can you please explain Simpson's paradox with equations, instead of contingency tables?

mathematical-statistics simpsons-paradox asked Jul 3 '16 at 9:49
stats.stackexchange.com

14 votes

reading a template file and writing it to disk after some modifications

r file-io asked Feb 21 '17 at 17:11
stackoverflow.com

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Top Answers
44
What are the main theorems in Machine (Deep) Learning?
stats.stackexchange.com

31
What are variational autoencoders and to what learning tasks are they used?
stats.stackexchange.com

28
Why is the mean function in Gaussian Process uninteresting?
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25
Should I teach Bayesian or frequentist statistics first?
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23
CNN architectures for regression?
stats.stackexchange.com

19
How large exactly is the mosasaurus in Jurassic World?
scifi.stackexchange.com

19
Prediction interval for binomial random variable
stats.stackexchange.com

16
Beta distribution on flipping a coin
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14
What is a distribution over functions?
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12
Gaussian process prediction interval
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12
Do Gaussian process (regression) have the universal approximation property?
stats.stackexchange.com

11
What should I do when my neural network doesn't learn?
stats.stackexchange.com

10
Why Hamiltonian dynamics is better than random walk proposal in MCMC in some cases?
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10
Bayesian updating - coin tossing example
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9
Convolutional Neural Network Scale Sensitivity
stats.stackexchange.com

8
Why not just dump the neural networks and deep learning?
stats.stackexchange.com

7
Compare the statistical significance of the difference between two polynomial regressions in R
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6
Why study Linear Regression?
stats.stackexchange.com

6
how to find the coefficient for the construction of the linear regression model (using Fourier )?
stats.stackexchange.com

6
interpretation of the output of R function bs() (B-spline basis matrix)
stackoverflow.com

6
Is Variational Inference to make an inference of conditional probability from joint probability?
stats.stackexchange.com

6
Multi-layer perceptron vs deep neural network
stats.stackexchange.com

5
Generate images from CNN model built with transfer learning
stats.stackexchange.com

5
What is the essential difference between a neural network and nonlinear regression?
stats.stackexchange.com

5
Why is increasing the non-linearity of neural networks desired?
stats.stackexchange.com

5
What should I do when my neural network doesn't generalize well?
stats.stackexchange.com

5
Relative importance of predictors in logistic regression
stats.stackexchange.com

5
Model developed by optimizing one measure of performance, but assessed by another
stats.stackexchange.com

5
From a statistical perspective: Fourier transform vs regression with Fourier basis
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5
Optimal orthogonal polynomial chaos basis functions for log-normally distributed random variables
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