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State space modeling is an established framework for analyzing stochastic and deterministic dynamical systems that are measured or observed through a stochastic process.
One recent study has suggested that normal cell line promoter methylation patterns evolve through a stochastic process [ 180].
If the response to UNC-6 occurs through a stochastic process the direction of axon outgrowth would be randomly determined.
Each newborn is assigned two parents, selected in proportion to their gonad size through a stochastic process of Bernoulli trials.
Dominance between alleles and epistasis between loci is modelled as a stochastic process through an expression noise (see next section).
Typically, these models allow rates at a site to vary gradually through the tree according to a stochastic process.
The dynamics of water uptake are analyzed under random conditions through the modeling of rainfall as a stochastic process.
We treat the experiment as a stochastic process which is dependent on the parameters X = (x1,…, xM).
RNA polymerase binding is modeled as a stochastic process.
The training sessions are studied as a stochastic process.
Mathematically, the ergodicity of a stochastic process is guaranteed if (i) the stochastic process is a finite-state Markov process and (ii) the stochastic process converges to a stationary state for any initial condition [ 1].
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