MAP 6467
Stochastic Differential Equations and Filtering Theory I
Credits:
3
Prerequisites:
Catalog Description:
Introduction to random functions; Brownian motion process. Ito's stochastic integral; Ito's stochastic calculus; stochastic differential equations. Linear filtering; Kalman filtering; nonlinear filtering theory.
Recent Teachers:
Yan,
Section 5627, Periods MWF3, Room LIT.207, Instructor Yan
University of Florida *
Mathematics *
Contact Info
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