In article <[EMAIL PROTECTED]>,
 [EMAIL PROTECTED] (Eddie Jaye) wrote:

> As a new member to this newsgroup I wonder if there is any body out
> there that can help me with a probability problem that is part
> bayesian part conventional. The problem being to calculate the
> probability of two or more events that are not independent of each
> other or mutually exclusive. For example what is the probability of my
> passing a degree based on previous student records,  in which I
> simultaneously  belong to several event classes  age, ethnicity,
> gender etc. all of which have their own statistics.
> 
> In mathematical terms
> 
> There exist the individual probabilities of:
> 
> P(A/B)
> 
> P(A/C)
> 
> P(A/D)
> 
> Thus what is the probability of   P(A/B and C and D) ?

In general it cannot be calculated from the information given on the first 
three lines. Using '|' instead of '/' (since '/' is needed for division) one 
has (for example)

P(A|B&C&D)=P(B|A&C&D)P(C|A&D)P(A|D)/[P(B|C&D)P(C|D)],

by repeated application of Bayes' rule, assuming that I haven't made a 
mistake. There are other formulas that give the desired result, but none of 
them can be derived solely from P(A|B), P(A|C) and P(A|D).

Bill

-- 
Bill Jefferys/Department of Astronomy/University of Texas/Austin, TX 78712
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