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- procés estocàstic utilitzat en biologia per descriure poblacions finites (ca)
- proceso estocástico usado en biología (es)
- stochastic process used in biology to describe finite populations (en)
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- For the expected value the calculation runs as follows
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For the variance the calculation runs as follows, using the variance of a single step
:
---- (en)
- The mean time spent in state j when starting in state i which is given by
:
Here denotes the Kroenecker delta. This recursive equation can be solved using a new variable so that and thus and rewritten
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The variable is used and the equation becomes
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Knowing that and
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we can calculate :
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Therefore
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with . Now , the total time until fixation starting from state i, can be calculated
:
---- (en)
- Also in this case, fixation probabilities can be computed, but the transition probabilities are not symmetric. The notation and is used. The fixation probability can be defined recursively and a new variable is introduced.
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Now two properties from the definition of the variable can be used to find a closed form solution for the fixation probabilities:
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Combining and :
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which implies:
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This in turn gives us:
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---- (en)
- For the expected value the calculation runs as follows. Writing
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Writing and , and applying the law of total expectation, Applying the argument repeatedly gives or
For the variance the calculation runs as follows. Writing we have
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For all , and are identically distributed, so their variances are equal. Writing as before and , and applying the law of total variance,
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If , we obtain
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Rewriting this equation as
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yields
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as desired.
---- (en)
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- For a mathematical derivation of the equation above, click on "show" to reveal (en)
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- background-color:#f2dfce; color:black; (en)
- background-color: #f2dfce; color:black; (en)
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- Moran process (en)
- Proceso de Moran (es)
- Processo de Moran (pt)
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