Reiichiro Kawai

Orcid: 0000-0002-3845-015X

According to our database1, Reiichiro Kawai authored at least 28 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sampling and Change of Measure for Monte Carlo Integration on Simplices.
J. Sci. Comput., March, 2024

2023
Dynamic Finite-Budget Allocation of Stratified Sampling with Adaptive Variance Reduction by Strata.
SIAM J. Sci. Comput., April, 2023

Batching Adaptive Variance Reduction.
ACM Trans. Model. Comput. Simul., 2023

2022
Moment and polynomial bounds for ruin-related quantities in risk theory.
Eur. J. Oper. Res., 2022

Iterative weak approximation and hard bounds for switching diffusion.
CoRR, 2022

2021
Weak approximation for stochastic differential equations with jumps by iteration and hard bounds.
CoRR, 2021

A general approach to sample path generation of infinitely divisible processes via shot noise representation.
CoRR, 2021

Numerical aspects of shot noise representation of infinitely divisible laws and related processes.
CoRR, 2021

Numerical Methods for Backward Stochastic Differential Equations: A Survey.
CoRR, 2021

2020
Computable Primal and Dual Bounds for Stochastic Control.
SIAM J. Control. Optim., 2020

2018
Optimizing Adaptive Importance Sampling by Stochastic Approximation.
SIAM J. Sci. Comput., 2018

2017
Acceleration on Adaptive Importance Sampling with Sample Average Approximation.
SIAM J. Sci. Comput., 2017

Solving Multidimensional Fractional Fokker-Planck Equations via Unbiased Density Formulas for Anomalous Diffusion Processes.
SIAM J. Sci. Comput., 2017

Adaptive importance sampling Monte Carlo simulation for general multivariate probability laws.
J. Comput. Appl. Math., 2017

2015
Measuring Impact of Random Jumps Without Sample Path Generation.
SIAM J. Sci. Comput., 2015

Explicit hard bounding functions for boundary value problems for elliptic partial differential equations.
Comput. Math. Appl., 2015

2013
On Weak Approximation of Stochastic Differential Equations through Hard Bounds by Mathematical Programming.
SIAM J. Sci. Comput., 2013

Numerical inverse Lévy measure method for infinite shot noise series representation.
J. Comput. Appl. Math., 2013

2012
Likelihood ratio gradient estimation for Meixner distribution and Lévy processes.
Comput. Stat., 2012

Infinite Variation Tempered Stable Ornstein-Uhlenbeck Processes with Discrete Observations.
Commun. Stat. Simul. Comput., 2012

2011
Exact discrete sampling of finite variation tempered stable Ornstein-Uhlenbeck processes.
Monte Carlo Methods Appl., 2011

On simulation of tempered stable random variates.
J. Comput. Appl. Math., 2011

2010
Asymptotically optimal allocation of stratified sampling with adaptive variance reduction by strata.
ACM Trans. Model. Comput. Simul., 2010

Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations.
SIAM J. Sci. Comput., 2010

2009
An optimization approach to weak approximation of Lévy-driven stochastic differential equations with application to option pricing.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Optimal Importance Sampling Parameter Search for Lévy Processes via Stochastic Approximation.
SIAM J. Numer. Anal., 2008

2007
Adaptive Monte Carlo Variance Reduction with Two-time-scale Stochastic Approximation.
Monte Carlo Methods Appl., 2007

2006
An importance sampling method based on the density transformation of Lévy processes.
Monte Carlo Methods Appl., 2006


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