Two Gaussians multiply each other don't necessarily get a Gaussian: math.stackexchange.com/questions/101062/is-the-product-of-two-gaussian-random-variables-also-a-gaussian
The product rule isn't about multiplying the random variables. It is about multiplying the probability density functions, which does yield a gaussian (up to normalization). Multiplying PDFs/probabilities appears in Bayes' rule.
unbelievable and always inspiring no matter how many times been watched...
There's a mistake in the conditional distribution of x given the variance and y at 17:32.
first lecture where I hear something referring to the likelihood :) most lectures jump from the prior directly to the posterior
Great explanation of the concepts.. thanks a lot
[Slide link](mlss.tuebingen.mpg.de/2013/2013/hennig_slides1.pdf)
Two Gaussians multiply each other don't necessarily get a Gaussian: math.stackexchange.com/questions/101062/is-the-product-of-two-gaussian-random-variables-also-a-gaussian
The product rule isn't about multiplying the random variables. It is about multiplying the probability density functions, which does yield a gaussian (up to normalization). Multiplying PDFs/probabilities appears in Bayes' rule.
thank you!
Amazing..