CODEWITHSUNDEEP
artificial-intelligencebayesianhidden-markov-modelsmarkov-chains
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Reputation: 19

Hidden Markov Model Bayesian Relation

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Hi all this is artificial intelligence class from udacity. I have a question. P(R0)=1 means probability of day0 rainy is is 1. Here is my question P(R2 | H1 G2)? meaning we know I am happy at day1 and grumpy at day2 what is probability it is raining at day2

Upvotes: 0

Views: 109

Answers (1)

marmeladze
marmeladze

Reputation: 6564

Some useful data

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P(R_2|H_1, G_2) can be reduced to P(R_2|G_2) because there is no given transition coeffs. between moods (this can be discovered for a weather sequence however). 

P(R_2|G_2) = P(G_2|R_2)*P(R_2)/P(G_2) = 0.264*0.440/0.320 = 0.363

Upvotes: 1

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