Template:WebNotes/Discrete Markov Chain: Difference between revisions
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A Markov chain diagram is the graphical representation of a system that can be in various states, including the possible transitions between those states. Each state block represents a state, while each transition line represents a fixed probability (discrete Markov) or constant transition rate (continuous Markov) to move from one state to another. | A Markov chain diagram is the graphical representation of a system that can be in various states, including the possible transitions between those states. Each state block represents a state, while each transition line represents a fixed probability (discrete Markov) or constant transition rate (continuous Markov) to move from one state to another. | ||
In discrete Markov diagrams, the system moves from state to state in steps. These steps are not necessarily time-based; although they can represent a fixed period of time, they can also represent distance or any other measurement. At each step, there is a fixed probability of the system transitioning to another state. | In discrete Markov diagrams, the system moves from state to state in steps. These steps are not necessarily time-based; although they can represent a fixed period of time, they can also represent distance or any other measurement. At each step, there is a fixed probability of the system transitioning to another state. | ||
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Revision as of 23:47, 30 March 2015
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