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Stochastic Differential Equations

1987
In this paragraph we shall consider (real) random processes ξ(t), t ≥ t0, characterized by the stochastic differential $$ \begin{array}{*{20}{c}} {d\xi \left( t \right) = \infty \left( t \right)dt + \beta \left( t \right)d\eta \left( t \right),}\\ {\alpha \left( t \right) = a\left( {t\xi \left( t \right)} \right),\beta \left( t \right) = b\left( {t\
openaire   +2 more sources

New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race

New England Journal of Medicine, 2021
Lesley A Inker   +2 more
exaly  

Stochastic Differential Equations

2001
Virtually all continuous stochastic processes of importance in applications satisfy an equation of the form $$d{X_t} = \mu (t,{X_t})dt + \sigma (t,{X_t})d{B_t}with\;{X_0} = {x_0}$$ (9.1) .
openaire   +2 more sources

On stochastic differential equations

Memoirs of the American Mathematical Society, 1951
openaire   +2 more sources

Differential Privacy Techniques for Cyber Physical Systems: A Survey

IEEE Communications Surveys and Tutorials, 2020
Jinjun Chen   +2 more
exaly  

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