2 ms·
Please: (1) Yes, in probability, distributions are crucial concepts. (2) In practice, for random variables taking real number values, usually can't know the d
by graycat 12y ago
Please:
(1) Yes, in probability,
distributions are crucial
concepts.
(2) In practice, for random variables
taking real number values,
usually can't know
the distribution. For random variables
taking vector values of dimension
over, say, three, essentially never
can know the distribution.
(3) The main approach in practice is
to use the classic limit theorems,
especially the law of large numbers
and the central limit theorem,
to let us know at most only a little
about the distributions.
(4) More generally, we have to work
nearly always knowing few or no
details about the distributions.
Looking at some histograms?
For a first-cut, sometimes maybe
okay.
Looking at pictures of distributions?
Nearly useless.
- stared 12y agoFor Bayesian modeling making assumptions about distributions is crucial.