Applied stochastic differential equations
by Särkkä, Simo
"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"--
Read More ↓Title Statements
- Full title :Applied stochastic differential equations / Simo Särkkä, Arno Solin.
Summary
"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"--
Read More ↓Edition Statements
- Publication Date:2019.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge, United Kingdom
- Language:eng
- Publication Date:2019.
The Physical Object
- Description:ix, 316 pages : : illustrations ; : 23 cm.
Edition Identifiers
- ISBN:9781316510087, 1316510085, 9781316649466, 1316649466
- oclc:on1154460014
- LC Classification:QA274.23S272019
- Dewey Decimal:315/.350151923
Table of Contents
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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