Chapter 3 - Bayesian Landscape with more than one sample

[xuevin]

In the section on Bayesian Landscape, the text advises the user to observe how the mountains change with varying sample size.

Changing the sample size from 1 to 100, I can clearly see that the mountain narrows, but it does not converge to the true parameter. (It seems to converge to 3,1 instead of 1,3.)

I am pretty sure the only parameter I changed was the Sample size (N). Could this be an error with the plotting code?

Thanks!

[CamDavidsonPilon]

haha awesome discovery! You are correct, there is a mistake in the plotting. I'll fix that now.

May I ask, did you find this example useful? (ignoring the plotting error)

[xuevin]

This example was very useful to me! It provided a very intuitive demonstration on how different priors affect the posterior distribution. Great work!

[rosmarin]

I think this problem still exists. I change the code in the way like

L = np.dot( likelihood_y[:,None], likelihood_x[None,:] )

But I am not sure if it is correct.