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The transition probability from picked from the transition matrix.
dataconomy.com
The graph on the right plots the probability mass in the lone absorbing state that represents the final square as the transition matrix is raised to larger and larger powers.
en.wikipedia.org
A generic transition matrix in probability has a stationary distribution, which is the eventual probability to be found at any point no matter what the starting point.
en.wikipedia.org
The single parameter of this distribution (termed the "concentration parameter") controls the relative density or sparseness of the resulting transition matrix.
en.wikipedia.org
The next step is to estimate a new transition matrix.
en.wikipedia.org
Second, not all transitions have the same transition matrix element, absorption coefficient or oscillator strength.
en.wikipedia.org
The transition matrix depends on the number of ties of node i and node j, as well as the state of node i and node j.
en.wikipedia.org
The transition matrix function is a function from the branch lengths (in some units of time, possibly in substitutions), to a matrix of conditional probabilities.
en.wikipedia.org
In the case of a positive transition matrix, the no net flow condition implies detailed balance.
en.wikipedia.org
Since the operators and basis vectors are linear, the matrix is a linear transformation (aka transition matrix) between bases.
en.wikipedia.org

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