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 ==