Fordiscreterandomvariables X and Y , derivethefollowinggeneralizationofBayesTheorem (Section 2.1.5): P(X = x S Y = y) = P(Y
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Fordiscreterandomvariables X and Y , derivethefollowinggeneralizationofBayes’Theorem
(Section 2.1.5):
P(X = x S Y = y) = P(Y = y S X = x)P(X = x)
Σa P(Y = y S X = a)P(X =
a) , where thedenominatorsumisover allthepossiblevalues a for X. Statethecorresponding result for P(Bj S A) for anevent A and asamplespacethatpartitionsintodisjointevents
{B1, ...,Bc}.
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Related Book For
Foundations Of Statistics For Data Scientists With R And Python
ISBN: 9780367748456
1st Edition
Authors: Alan Agresti
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