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Bayesian Solution for Monty Hall’s Paradox

Given that the guest chooses door 1 and the host opens door 3, we have:

P(1=car3=opened)P(1=car|3=opened)

=P(3=opened1=car)P(1=car)p(3=opened)= \frac{P(3=opened|1=car) *P(1=car)} {p(3=opened)}

=1213p(3=opened)=\frac{\frac{1}{2}*\frac{1}{3}}{p(3=opened)}

P(3=opened) is the probability that the host opens door 3 when guest picked door 1.

P(3=opened)P(3=opened) =P(3=opened1=car)P(1=car)+P(3=opened2=car)P(2=car)+P(3=opened3=car)P(3=car)= P(3=opened |1= car)*P(1= car)+P(3=opened|2= car)*P(2 = car)+P(3=opened |3 = car)*P(3 = car) =1213+113+013=\frac{1}{2}*\frac{1}{3}+1*\frac{1}{3}+0*\frac{1}{3} =12=\frac{1}{2}

P(1=car3=opened)P(1=car|3=opened) =1612=\frac{\frac{1}{6}}{\frac{1}{2}} =13=\frac{1}{3}

Hence the possibility of car is behind door 1 is $1/3$, given guest selected door 1 and host opened door 3.

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Updated 2020-04-15

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Data Science