In bootstrapping, within a single instance of resampling, why do you draw a number of samples equal to your starting N?
89241
Bootstrap sample with size greater than the original sample
111321
When should we discretize/bin continuous independent variables/features and when should not?
123431
Good text for resampling?
153240
Different results between individual and batch clip of rasters in QGIS?
54862
Pros and cons of bootstrapping
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
1639
Why is it necessary to sample from the posterior distribution if we already KNOW the posterior distribution?
43932
Does the recurrent neural network require the length of input samples all the same
78589
Why mini batch size is better than one single "batch" with all training data?
25533
Why is the CDF of a sample uniformly distributed
52894
How to test if these two samples are from the same distribution?
61758
Limit question on independent random variables (Exercise 4.2.4 from Grimmett and Stirzaker)
19236
Intuitive reason why sampling without replacement doesnt change expectation?
31272
Why does the continuity correction (say, the normal approximation to the binomial distribution) work?
94042
Why on average does each bootstrap sample contain roughly two thirds of observations?
71157
Looking for intro to Conformal Bootstrap