Not exact matches
A good example is if you try and fit a normal distribution to 10 data values using a flat prior for the
variance... the final
variance estimate you get is higher than anything that any of the standard methods will give you, and is
really just nonsense: it's extremely biased, and the resulting predictions of the normal are much too
wide.
A good example is if you try and fit a normal distribution to 10 data values using a flat prior for the
variance... the final
variance estimate you get is higher than anything that any of the standard methods will give you, and is
really just nonsense: it's extremely biased, and the resulting predictions of the normal are much too
wide.