On the simulation of iterated Itô integrals
By Tobias Rydén, M. Wiktorsson. 2001
52 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2faedf096b470e19446f84e58a5432b909ffadb4
How researchers see this paper
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In Artificial Intelligence
In Finance
- Lukasz Szpruch
- M. Giles
- Evelyn Buckwar
- Thorsten Sickenberger
- Steffen Dereich
- Raphael Kruse
- Nicolas Chopin
- Chris J. Oates
In Statistics and Probability
- Lukasz Szpruch
- Evelyn Buckwar
- Thorsten Sickenberger
- M. Giles
- Raphael Kruse
- Steffen Dereich
- Pierre E. Jacob
- Benjamin Peherstorfer
Citations in the corpus
- A structural analysis of asymptotic mean-square stability for multi-dimensional linear stochastic differential systems (2012, methodology): “Preprint submitted to Applied Numerical Mathematics February 20, 2012”
- Characterization of bistability for stochastic multistep methods (2010, unknown): “We refer to [28, 33] for methods to approximate iterated stochastic integrals I ti α .”
- Antithetic multilevel Monte Carlo estimation for multi-dimensional SDEs without Lévy area simulation (2012, methodology): “However, a weakness of the Milstein discretisation is that in multiple dimensions it generally requires the simulation of iterated Itô integrals known as Lévy areas, for which there is no known efficient method except in dimension 2 [4, 17, 18].”
- Antithetic Multilevel Monte Carlo Estimation for Multidimensional SDEs (2013, methodology): “However, there is no method for simulating Lévy areas with a cost per timestep similar to that of Brownian increments, apart from in dimension 2 [2, 9, 10].”