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#markov-chain

4 questions from Probabilistic & Graphical Models, Time Series

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4 questions · 4 min · score and explanations at the end

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Q 1 / 4Score 0 / 0

Question 1: Short answer

mediumAI-checkedProbabilistic & Graphical Models

Binary variables form a chain A→B→CA \to B \to C: BB depends only on AA, and CC depends only on BB. You know P(A=1)=0.4P(A{=}1) = 0.4, P(B=1∣A=1)=0.7P(B{=}1 \mid A{=}1) = 0.7, P(B=1∣A=0)=0.2P(B{=}1 \mid A{=}0) = 0.2, P(C=1∣B=1)=0.9P(C{=}1 \mid B{=}1) = 0.9 and P(C=1∣B=0)=0.3P(C{=}1 \mid B{=}0) = 0.3. What is P(A=1,B=0,C=1)P(A{=}1, B{=}0, C{=}1)?

a probability, 3 decimals