4 ms·

Wait how do you get likelihoods greater than one? Definitely won’t work for likelihoods like Poisson or other count based models.

• blackbear_ 3y ago
  For discrete distributions you indeed cannot, but for continuous distributions all you need is sufficiently small variance. Try for example a Gaussian with variance 1e-12
  • KeplerBoy 3y ago
    The value of a continuous probability density distribution at a specific point is pretty meaningless though; You have to talk about the integral between two values and that won't go above one.
    • blackbear_ 3y ago
      In context of maximum likelihood the value of the density at the maximizer is actually quite useful, for example for model comparison.