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arXiv · 1302.0430

A Primer on Stochastic Differential Geometry for Signal Processing

Abstract

This primer explains how continuous-time stochastic processes (precisely, Brownian motion and other Ito diffusions) can be defined and studied on manifolds. No knowledge is assumed of either differential geometry or continuous-time processes. The arguably dry approach is avoided of first introducing differential geometry and only then introducing stochastic processes; both areas are motivated and developed jointly.

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BibTeXRIS

Jonathan H. Manton. 2013-02-02. A Primer on Stochastic Differential Geometry for Signal Processing. https://doi.org/10.1109/jstsp.2013.2264798

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