Estimation

# Estimation - CSC 411 / CSC D11 Estimation 7 Estimation We...

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CSC 411 / CSC D11 Estimation 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 H=1,T=0 H=750,T=250 Figure 1: Posterior probability of θ from two different experiments: one with a single coin flip (landing heads), and 1000 coin flips (750 of which land heads). Note that the latter distribution is much more peaked. (Note: the vertical scale is wrong on these plots, they should integrate to 1.) The denominator may be solved for by the marginalization rule: P ( c 1:1000 ) = i 1 0 P ( c 1:1000 ) = i 1 0 θ 750 (1 θ ) 1000 - 750 = Z (5) where Z is a constant (evaluating it requires more advanced math, but it is not necessary for our
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## This note was uploaded on 11/09/2010 for the course CS CSCD11 taught by Professor Davidfleet during the Spring '10 term at University of Toronto.

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Estimation - CSC 411 / CSC D11 Estimation 7 Estimation We...

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