2081 6

Simulation and Modeling20815 marksFeatures

Explain markov chain with suitable example. What are diffrent application areas of markov chain?

Explain markov chain with suitable example. What are diffrent application areas of markov chain? [5]

Formal Definition: A Markov chain is a sequence of random variables X₁, X₂, X₃, ... with the Markov property, namely that, given the present state, the future and past states are independent. This property can be expressed mathematically as: P(Xₙ₊₁ = xₙ₊₁ X₁ = x₁, X₂ = x₂, ..., Xₙ = xₙ) = P(Xₙ₊₁ ...

Up nextExplain iterative process of calibrating a simulation model.