Applied stochastic differential equations
"Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines"--
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Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cambridge, United Kingdom, New York, NY
Cambridge University Press
2019
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Schriftenreihe: | Institute of Mathematical Statistics textbooks
10 |
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Zusammenfassung: | "Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines"-- Some background on ordinary differential equations -- Pragmatic introduction to stochastic differential equations -- Itô calculus and stochastic differential equations -- Probability distributions and statistics of SDEs -- Statistics of linear stochastic differential equations -- Useful theorems and formulas for SDEs -- Numerical simulation of SDEs -- Approximation of non-linear SDEs -- Filtering and smoothing theory -- Parameter estimation in SDE models -- Stochastic differential equations in machine learning |
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Beschreibung: | Literaturangaben |
Beschreibung: | ix, 316 Seiten Illustrationen |
ISBN: | 9781316649466 978-1-316-64946-6 9781316510087 978-1-316-51008-7 |