Conditional probability distribution: Difference between revisions

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Seen as a function of ''y'' for given ''x'', ''P''(''Y'' = ''y'' | ''X'' = ''x'') is a probability and so the sum over all ''y'' (or integral if it is a conditional probability density) is 1. Seen as a function of ''x'' for given ''y'', it is a [[likelihood function]], so that the sum over all ''x'' need not be 1.
 
== References ==
 
* {{Cite document
| last = Taboga
| first = Marco
| title = Fundamentals of probability. Conditional probability distributions.
| url=http://www.statlect.com/cnddst1.htm
| year = 2010}}
 
 
 
== See also ==