Template:Continuous 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 continuous Markov diagrams, the system does not proceed according to fixed steps, but instead is time based. The constant rates at which the system's states transition are given using exponential distributions. | In continuous Markov diagrams, the system does not proceed according to fixed steps, but instead is time-based. The constant rates at which the system's states transition are given using exponential distributions. | ||
Revision as of 16:50, 16 February 2015
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 continuous Markov diagrams, the system does not proceed according to fixed steps, but instead is time-based. The constant rates at which the system's states transition are given using exponential distributions.