Stochastic model definition

Stochastic model means a mathematical model involving random variable(s) in order to estimate probability distributions of potential outcomes.
Stochastic model means a model involving or containing a random variable or variables pertaining to chance or probability. (Germany) Propose to add per the comments under 3.9. deleting “stochastic”.

Examples of Stochastic model in a sentence

  • The Group has adopted a Stochastic model to calculate the fair value of options, which enables the Total Shareholder Return (TSR) performance condition attached to the awards to be factored into the fair value calculation.

  • Employee share options are valued in accordance with a Stochastic model and judgement is required regarding the choice of some of the inputs to the model.

  • The Group has used the Stochastic model to value the grants which is dependent upon factors including the share price, expected volatility and vesting period and the resulting fair value is amortised through the income statement over the vesting period.

  • Stochastic model allows to estimate the confining string ten- sion in terms of the vacuum fields.

  • Data - phase IT1 - Stochastic model - η = 2 ηref T1 - Stochastic model - η = ηref T1 - Stochastic model - η = 0.5 ηref T1 - Stochastic model - η → ∞T2 - Stochastic model - η = 2 ηref T2 - Stochastic model - η = ηref T2 - Stochastic model - η = 0.5 ηref PSE model Figure 6: Comparison of the calibrated model prediction and experimental data for the fast transient response.

  • Furthermore, one can recover an almost purely elastic response by doubling the drag coefficient (red symbols).The choice of the value of η has also a strong influence on the rate of the tension recovery in phase II, we checked that our choice allows to keep this rate in the physiological range, see section 4.1.1. 20 (a)−x˙c (µm s−1)15 Experimental data Stochastic model 4000 𝗌˙, W˙ (zJ s−1)3000(b) W˙ Exp.

  • To remedy this paucity, we used results from a series of simulations based on the Lagrangian Stochastic model of Mueller & Veron (2009) for wind speeds ranging from 0 m s−1 to 30 m s−1.

  • Stochastic model of T cell proliferation: a calculus revealing IL-2 regulation of precursor frequencies, cell cycle time, and survival.

  • Stochastic model Equations (2) can give rise to ei- ther a system of ODEs or to a stochastic process.

  • Stochastic model predictive control: an overview and prespecitve for future research.

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