D
Dai Taguchi
Researcher at Osaka University
Publications - 38
Citations - 432
Dai Taguchi is an academic researcher from Osaka University. The author has contributed to research in topics: Stochastic differential equation & Rate of convergence. The author has an hindex of 8, co-authored 37 publications receiving 356 citations. Previous affiliations of Dai Taguchi include Ritsumeikan University & Okayama University.
Papers
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Strong rate of convergence for the Euler-Maruyama approximation of stochastic differential equations with irregular coefficients
Hoang-Long Ngo,Dai Taguchi +1 more
TL;DR: The rate of strong convergence where the possibly discontinuous drift coefficient satisfies a one-sided Lipschitz condition and the diffusion coefficient is Holder continuous is provided.
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Strong Rate of Convergence for the Euler-Maruyama Approximation of Stochastic Differential Equations with Irregular Coefficients
Hoang-Long Ngo,Dai Taguchi +1 more
TL;DR: In this paper, the Euler-Maruyama approximation for multi-dimensional stochastic differential equations with irregular coefficients was considered and the rate of strong convergence was shown to be linear with respect to the one-sided Lipschitz condition.
Journal ArticleDOI
On the Euler–Maruyama approximation for one-dimensional stochastic differential equations with irregular coefficients
Hoang-Long Ngo,Dai Taguchi +1 more
TL;DR: In this paper, the strong rates of the Euler-Maruyama approximation for one dimensional stochastic differential equations whose drift coefficient may be neither continuous nor one-sided Lipschitz and diffusion coefficient is Holder continuous were studied.
Journal ArticleDOI
Strong convergence for the Euler-Maruyama approximation of stochastic differential equations with discontinuous coefficients
Hoang-Long Ngo,Dai Taguchi +1 more
TL;DR: In this paper, the strong convergence for the Euler-Maruyama approximation of a class of stochastic differential equations whose both drift and diffusion coefficients are possibly discontinuous was studied.
Journal ArticleDOI
Strong rate of convergence for the Euler–Maruyama approximation of SDEs with Hölder continuous drift coefficient
TL;DR: In this article, the authors considered a numerical approximation of the stochastic differential equation (SDE) X t = x 0 + ∫ 0 t b ( s, X s ) d s + L t, x 0 ∈ R d, t ∈ [ 0, T ], where the drift coefficient b : [ 0, T ] × R d → R d is Holder continuous in both time and space variables and the noise L = (L t ) 0 ≤ t ≤ T is a d -dimensional Levy process.