0
votes
0answers
28 views

Bootstrap sampling (i.e. sample N with replacement) - distribution of histogram

In bootstrap sampling, we have $N$ items and we perform random sampling with replacement $N$ times. The resulting sample could be summarised by a histogram illustrating the number of items which were ...
3
votes
1answer
77 views

Adaptive sampling for 2D functions with discontinuities

I have a 2D function, $f(x,y)$, which I can compute on a computer. The function is expensive to calculate, so I would like to use an adaptive sampling method to plot it in a region. That is, I want ...