I think the inverse CDF graphics have switched axes, Values should be on the Y axis and probability on the x Axis.
On the Gaussian example I used:
plt.subplot(1,3,3)
plt.plot(p_values, x_values,'r-', lw=5, alpha=0.3, label='uniform pdf')
And the graph looked more like the inverse CDF graphs I searched on the Internet.
Please let me know if I am wrong.
And thanks for the wonderful studying material.
I think the inverse CDF graphics have switched axes, Values should be on the Y axis and probability on the x Axis.
On the Gaussian example I used:
plt.subplot(1,3,3)
plt.plot(p_values, x_values,'r-', lw=5, alpha=0.3, label='uniform pdf')
And the graph looked more like the inverse CDF graphs I searched on the Internet.
Please let me know if I am wrong.
And thanks for the wonderful studying material.