demos.py 文件源码

def plot_mean_bootstrap():
    X = [-1, 0, 1]
    posterior_samples = mean(X, 10000)
    sns.distplot(posterior_samples)
    classical_samples = [np.mean(resample(X)) for _ in range(10000)]
    sns.distplot(classical_samples)
    plt.show()