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The phrase "stochastic analysis" doesn't tell the lay reader that mathematics is what this is about. |
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In [[stochastic analysis]], a part of the mathematical theory of [[probability]], a '''predictable process''' is a [[stochastic process]]
== Mathematical definition ==
=== Discrete-time process ===
Given a [[filtered probability space]] <math>(\Omega,\mathcal{F},(\mathcal{F}_n)_{n \in \mathbb{N}},\mathbb{P})</math>, then a stochastic process <math>(X_n)_{n \in \mathbb{N}}</math> is ''predictable'' if <math>X_{n+1}</math> is [[
=== Continuous-time process ===
Given a filtered probability space <math>(\Omega,\mathcal{F},(\mathcal{F}_t)_{t \geq 0},\mathbb{P})</math>, then a [[continuous-time stochastic process]] <math>(X_t)_{t \geq 0}</math> is ''predictable'' if <math>
This [[σ-algebra]] is also called the '''predictable σ-algebra'''.
== Examples ==
* Every [[deterministic system|deterministic process]] is a predictable process.{{citation needed|date=October 2011}}
* Every continuous-time adapted process that is [[left continuous]] is a predictable process.{{Citation needed|reason=A Wiener process has continuous paths and is not predictable.|date=May 2020}}
== See also ==
* [[Adapted process]]
* [[Martingale (probability theory)|Martingale]]
== References ==
{{Reflist}}
{{Stochastic processes}}
[[Category:Stochastic processes]]
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