from matplotlib import pyplot as plt
import numpy as np
from scipy import stats
= stats.qmc.Sobol(2)
sob = sob.random(4096) # must be a power of 2
u = stats.norm.ppf(u)
z = z
x = 0.9
rho 1] += rho * z[:, 0] + np.sqrt(1. - rho**2) * z[:, 1]
x[:,
plt.figure()'ggplot')
plt.style.use(0], x[:, 1], alpha=0.5)
plt.scatter(x[:, plt.show()
New web-site
tools
Wow, Quarto is great.
Hi everyone, welcome to my new, shiny, quarto-based web-site.
Before that, I was using Jekyll, as recommended by the github pages documentation. However, Jekyll is really overkill for a simple academic website (and a simpleton like myself). I tried different things, and ended up using this template, but I found it difficult to adapt to my needs (and it’s not maintained anymore).
Long story short: I have just switched to quarto, and I am very glad I did. I manage to do more advanced things (like adding a blog) in much less time.
Also, math support is great: \(2+\int_0^1 f(x) dx\). You can also type code: