Difference between revisions of "MediaWiki:Sidebar"
Line 54: | Line 54: | ||
====References==== | ====References==== | ||
+ | <html><table><TR><TD valign="top">[1]</TD> | ||
+ | <TD valign="top"> | ||
+ |  S.N. Bernshtein,  | ||
+ |  "Probability theory" | ||
+ | , Moscow-Leningrad | ||
+ |  (1946) | ||
+ |  (In Russian)</TD></TR></table></html> | ||
+ | |||
+ | |||
+ | ''Yu.V. Prokhorov'' | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ====Comments==== | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ====References==== | ||
todo | todo |
Revision as of 08:30, 17 June 2010
A conditional probability distribution of a random variable, to be contrasted with its unconditional or a priori distribution.
Let <html> be a random parameter with an a priori density , let be a random result of observations and let be the conditional density of when ; then the a posteriori distribution of for a given </html>, according to the Bayes formula, has the density
<html>
</html>
If <html></html> is a sufficient statistic for the family of distributions with densities <html>, then the a posteriori distribution depends not on itself, but on . The asymptotic behaviour of the a posteriori distribution as , where are the results of independent observations with density ,</html> is "almost independent" of the a priori distribution of <html></html>.
For the role played by a posteriori distributions
in the theory of statistical decisions, see
Bayesian approach.
References
<html>
[1] |
S.N. Bernshtein, "Probability theory" , Moscow-Leningrad (1946) (In Russian) |
</html>
Yu.V. Prokhorov
Comments
References
todo
Sidebar. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Sidebar&oldid=3003