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Generalized Wiener process : ウィキペディア英語版
Generalized Wiener process
In statistics, a generalized Wiener process (named after Norbert Wiener) is a continuous time random walk with drift and random jumps at every point in time. Formally:
:a(x,t) dt + b(x,t) \eta \sqrt
where a and b are deterministic functions, t is a continuous index for time, x is a set of exogenous variables that may change with time, dt is a differential in time, and η is a random draw from a standard normal distribution at each instant.
== See also ==

*Wiener process


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Generalized Wiener process」の詳細全文を読む



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