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help in markov chainHi i have an exercise and have a trouble with it if anyone can help me i would appreciate it plz help if you can. This is the exercise: Suppose the weather in a city in the (n) day is described from a Markov chain and it depend on the (n-1) day as follows: 1. if in (n-1) day rains then in (n) day rains with probability 60% or will be sunshine with probability 40% 2. if in (n-1) day has sunshine then in (n) day will have sunshine with probability 60% or will have clouds with probability 40%. 3. if in (n-1) day have clouds then in (n) day will rain with probability 20% , will have sunshine with probability 20% , will have clouds with probability 55% or will snow with probability 5%. 4. if in (n-1) day snows then in (n) day will have clouds with probability 90% or will snow with probability 10% The exercise asks for the following: 1. Markov chain transition matrix 2. Solve the balanced equations and calculate the steady-state probabilities . Thanks in advance |

Re: help in markov chaini cant make both the Markov chain transition matrix and Solve the balanced equations and calculate the steady-state probabilities . |

Re: help in markov chainHello, legendoulis! Quote:
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Re: help in markov chainthank you very very match soroban for the answer. I have one more thing: We have to simulate the Markov chain that we created i will explain: You can start the chain from whichever situation you want. 1. In every step of the simulation we must create a random number . 2. So when we finish we use the transition matrix to go to the next situation and so on The simulation must have time equal to 1080 steps of the previous (1. and 2.) |

Re: help in markov chainWe need to find the Markov chain diagram from the data that we have |

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