Weak approximation of stochastic differential equations and application to derivative pricing
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ninomiya, Syoiti, Victoir, Nicolas |
|---|---|
| Format: | Preprint |
| Publié: |
2006
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A new weak approximation scheme of stochastic differential equations and the Runge-Kutta method
par: Ninomiya, Mariko, et autres
Publié: (2007)
par: Ninomiya, Mariko, et autres
Publié: (2007)
A high-order recombination algorithm for weak approximation of stochastic differential equations
par: Ninomiya, Syoiti, et autres
Publié: (2025)
par: Ninomiya, Syoiti, et autres
Publié: (2025)
Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm
par: Iguchi, Yuga, et autres
Publié: (2024)
par: Iguchi, Yuga, et autres
Publié: (2024)
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
par: Paulin, Daniel, et autres
Publié: (2026)
par: Paulin, Daniel, et autres
Publié: (2026)
Error analysis for learning fractional stochastic differential equations with applications in neural approximations
par: Dehshiri, Mahdi, et autres
Publié: (2026)
par: Dehshiri, Mahdi, et autres
Publié: (2026)
Strong convergence rate of Euler-Maruyama method for stochastic differential equations with Hölder continuous drift coefficient driven by symmetric $α$-stable process
par: Liu, Wei
Publié: (2019)
par: Liu, Wei
Publié: (2019)
Antithetic multilevel Monte Carlo method for approximations of SDEs with non-globally Lipschitz continuous coefficients
par: Pang, Chenxu, et autres
Publié: (2023)
par: Pang, Chenxu, et autres
Publié: (2023)
An Antithetic Multilevel Monte Carlo-Milstein Scheme for Stochastic Partial Differential Equations with non-commutative noise
par: Haji-Ali, Abdul-Lateef, et autres
Publié: (2023)
par: Haji-Ali, Abdul-Lateef, et autres
Publié: (2023)
On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient
par: Müller-Gronbach, T., et autres
Publié: (2024)
par: Müller-Gronbach, T., et autres
Publié: (2024)
Multi-index importance sampling for McKean--Vlasov stochastic differential equations
par: Rached, Nadhir Ben, et autres
Publié: (2023)
par: Rached, Nadhir Ben, et autres
Publié: (2023)
Sufficient conditions for QMC analysis of finite elements for parametric differential equations
par: Kaarnioja, Vesa, et autres
Publié: (2025)
par: Kaarnioja, Vesa, et autres
Publié: (2025)
Projected Langevin Monte Carlo algorithms in non-convex and super-linear setting
par: Pang, Chenxu, et autres
Publié: (2023)
par: Pang, Chenxu, et autres
Publié: (2023)
A multilevel Monte Carlo algorithm for SDEs driven by countably dimensional Wiener process and Poisson random measure
par: Sobieraj, Michał
Publié: (2023)
par: Sobieraj, Michał
Publié: (2023)
A domain decomposition method for stochastic evolution equations
par: Buckwar, Evelyn, et autres
Publié: (2024)
par: Buckwar, Evelyn, et autres
Publié: (2024)
A Randomized Milstein Scheme for SDEs with Superlinear Drift Coefficient
par: Biswas, Sani
Publié: (2026)
par: Biswas, Sani
Publié: (2026)
Strong convergence and Mittag-Leffler stability of stochastic theta method for time-changed stochastic differential equations
par: Chen, Jingwei, et autres
Publié: (2025)
par: Chen, Jingwei, et autres
Publié: (2025)
B-series for SDEs with application to exponential integrators for non-autonomous semi-linear problems
par: Arara, Alemayehu Adugna, et autres
Publié: (2023)
par: Arara, Alemayehu Adugna, et autres
Publié: (2023)
Discontinuous Galerkin methods for the complete stochastic Euler equations
par: Breit, Dominic, et autres
Publié: (2024)
par: Breit, Dominic, et autres
Publié: (2024)
Weak convergence analysis in the particle limit of the McKean--Vlasov equations using stochastic flows of particle systems
par: Haji-Ali, Abdul-Lateef, et autres
Publié: (2021)
par: Haji-Ali, Abdul-Lateef, et autres
Publié: (2021)
Strong convergence of path sensitivities
par: Giles, Michael B.
Publié: (2024)
par: Giles, Michael B.
Publié: (2024)
$α$-scaled strong convergence of stochastic theta method for stochastic differential equations driven by time-changed Lévy noise beyond Lipschitz continuity
par: Chen, Jingwei
Publié: (2025)
par: Chen, Jingwei
Publié: (2025)
Uniformly Generating Distribution Functions for Discrete Random Variables
par: Caprile, Bruno
Publié: (2000)
par: Caprile, Bruno
Publié: (2000)
Stochastic Filtering of Reaction Networks Partially Observed in Time Snapshots
par: Rathinam, Muruhan, et autres
Publié: (2023)
par: Rathinam, Muruhan, et autres
Publié: (2023)
Strong order 1 adaptive approximation of jump-diffusion SDEs with discontinuous drift
par: Schwarz, Verena
Publié: (2025)
par: Schwarz, Verena
Publié: (2025)
Weak convergence rates for temporal numerical approximations of stochastic wave equations with multiplicative noise
par: Cox, Sonja, et autres
Publié: (2019)
par: Cox, Sonja, et autres
Publié: (2019)
On modified Euler methods for McKean-Vlasov stochastic differential equations with super-linear coefficients
par: Jian, Jiamin, et autres
Publié: (2025)
par: Jian, Jiamin, et autres
Publié: (2025)
Error Distribution for One-Dimensional Stochastic Differential Equation Driven By Fractional Brownian Motion
par: Ueda, Kento
Publié: (2023)
par: Ueda, Kento
Publié: (2023)
Affine Invariant Langevin Dynamics for rare-event sampling
par: Chakraborty, Deepyaman, et autres
Publié: (2025)
par: Chakraborty, Deepyaman, et autres
Publié: (2025)
Adaptive stepsize algorithms for Langevin dynamics
par: Leroy, Alix, et autres
Publié: (2024)
par: Leroy, Alix, et autres
Publié: (2024)
Preserving invariant domains and strong approximation of stochastic differential equations
par: Erdogan, Utku, et autres
Publié: (2025)
par: Erdogan, Utku, et autres
Publié: (2025)
The local coupling of noise technique and its application to lower error bounds for strong approximation of SDEs with irregular coefficients
par: Ellinger, Simon
Publié: (2025)
par: Ellinger, Simon
Publié: (2025)
Pathwise convergence of the Euler scheme for rough and stochastic differential equations
par: Allan, Andrew L., et autres
Publié: (2023)
par: Allan, Andrew L., et autres
Publié: (2023)
Generalized convergence of the deep BSDE method: a step towards fully-coupled FBSDEs and applications in stochastic control
par: Negyesi, Balint, et autres
Publié: (2024)
par: Negyesi, Balint, et autres
Publié: (2024)
Coarse scrambling for Sobol' and Niederreiter sequences
par: Suzuki, Kosuke
Publié: (2025)
par: Suzuki, Kosuke
Publié: (2025)
Implicit numerical approximation for stochastic delay differential equations with the nonlinear diffusion term in the infinite horizon
par: Wang, Yudong, et autres
Publié: (2025)
par: Wang, Yudong, et autres
Publié: (2025)
Statistical solutions of hyperbolic systems of conservation laws: numerical approximation
par: Fjordholm, Ulrik Skre, et autres
Publié: (2019)
par: Fjordholm, Ulrik Skre, et autres
Publié: (2019)
Reaching the equilibrium: Long-term stable approximations for stochastic non-Newtonian Stokes equations with transport noise
par: Droniou, Jerome, et autres
Publié: (2024)
par: Droniou, Jerome, et autres
Publié: (2024)
Cylindrical Projections of Occupied Diffusions
par: Tissot-Daguette, Valentin, et autres
Publié: (2026)
par: Tissot-Daguette, Valentin, et autres
Publié: (2026)
Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds
par: Nguyen, Du, et autres
Publié: (2024)
par: Nguyen, Du, et autres
Publié: (2024)
Convergence of kinetic Langevin samplers for non-convex potentials
par: Schuh, Katharina, et autres
Publié: (2024)
par: Schuh, Katharina, et autres
Publié: (2024)
Documents similaires
-
A new weak approximation scheme of stochastic differential equations and the Runge-Kutta method
par: Ninomiya, Mariko, et autres
Publié: (2007) -
A high-order recombination algorithm for weak approximation of stochastic differential equations
par: Ninomiya, Syoiti, et autres
Publié: (2025) -
Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm
par: Iguchi, Yuga, et autres
Publié: (2024) -
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
par: Paulin, Daniel, et autres
Publié: (2026) -
Error analysis for learning fractional stochastic differential equations with applications in neural approximations
par: Dehshiri, Mahdi, et autres
Publié: (2026)