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- W2611479621 abstract "A stochastic process is the time evolution of a random variable or a collection of random variables. The range of all possible values is called the state space. Depending on the nature of a random variable, its state space may be continuous or discrete. Examples of discrete random variables in physical chemistry include the configurations of a lattice model, quantized vibrational energy levels, nodes of a network representing configurations of a protein, or integer numbers of species in a biochemical reaction network. Examples of continuous random variables include position along a dihedral angle coordinate or kinetic energies of gas molecules." @default.
- W2611479621 created "2017-05-12" @default.
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- W2611479621 date "2017-01-01" @default.
- W2611479621 modified "2023-09-27" @default.
- W2611479621 title "Discrete stochastic variables" @default.
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- W2611479621 doi "https://doi.org/10.1016/b978-0-44-456349-1.00014-3" @default.
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