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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Bibliographische Detailangaben
1. Verfasser: Särkkä, Simo (VerfasserIn)
Weitere Verfasser: Solin, Arno (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cambridge, United Kingdom, New York, NY Cambridge University Press 2019
Schriftenreihe:Institute of Mathematical Statistics textbooks 10
Schlagworte:
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Beschreibung
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
Beschreibung:Literaturangaben
Beschreibung:ix, 316 Seiten
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ISBN:9781316649466
978-1-316-64946-6
9781316510087
978-1-316-51008-7