馃攣 Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other processes, exact (when possible) and approximate computations
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Updated
Aug 10, 2018 - Python
馃攣 Stationary distributions for arbitrary finite state Markov processes, including specializations for the Moran, Wright-Fisher, and other processes, exact (when possible) and approximate computations
CASTANET: Computational package for deriving Analytical STAtionary distributions of biochemical reaction networks with NEtwork Translation.
Section 3 of a tentative book on theory and examples of Markov Chains
This code defines a transition matrix with 3 states and uses the Jacobi method to calculate the stationary distribution of the Markov chain. The method uses an initial guess of the stationary distribution vector, and iterates over the equation until the error is smaller than a certain threshold. The result is stored in the pi array and the final ..
C贸digo curso Artificial Intelligence with Python sobre cadenas de Markov y hidden Markov models para el m贸dulo de Modelos de Inteligencia Artificial del curso de especializaci贸n en IA y Big Data del IES de Teis
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