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# Itō integral
The **Itō integral** offers a way to integrate
-a time-indexed [random variable](/know/concept/random-variable/)
-$G_t$ (i.e. a stochastic process) with respect
-to a [Wiener process](/know/concept/wiener-process/) $B_t$,
+a given [stochastic process](/know/concept/stochastic-process/) $G_t$
+with respect to a [Wiener process](/know/concept/wiener-process/) $B_t$,
which is also a stochastic process.
The Itō integral $I_t$ of $G_t$ is defined as follows:
@@ -29,7 +28,7 @@ $$\begin{aligned}
Where have partitioned the time interval $[a, b]$ into steps of size $h$.
The above integral exists if $G_t$ and $B_t$ are adapted
-to a common [filtration](/know/concept/sigma-algebra) $\mathcal{F}_t$,
+to a common filtration $\mathcal{F}_t$,
and $\mathbf{E}[G_t^2]$ is integrable for $t \in [a, b]$.
If $I_t$ exists, $G_t$ is said to be **Itō-integrable** with respect to $B_t$.