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Publication search results
found 29 matches
- 2022
- Naho Akiyama, Toshihiro Yamada:
A high order weak approximation for jump-diffusions using Malliavin calculus and operator splitting. Monte Carlo Methods Appl. 28(2): 97-110 (2022) - Luai Al-Labadi, Muhammad Tahir:
Estimation of entropy and extropy based on right censored data: A Bayesian non-parametric approach. Monte Carlo Methods Appl. 28(4): 319-328 (2022) - Haifa Aldossari, Michael Mascagni:
Scrambling additive lagged-Fibonacci generators. Monte Carlo Methods Appl. 28(3): 199-210 (2022) - Maryam Alsolami, Michael Mascagni:
A random walk algorithm to estimate a lower bound of the star discrepancy. Monte Carlo Methods Appl. 28(4): 341-348 (2022) - Marco Ballesio, Ajay Jasra:
Unbiased estimation of the gradient of the log-likelihood for a class of continuous-time state-space models. Monte Carlo Methods Appl. 28(1): 61-83 (2022) - Jaya P. N. Bishwal:
Berry-Esseen inequalities for the fractional Black-Karasinski model of term structure of interest rates. Monte Carlo Methods Appl. 28(2): 111-124 (2022) - Miguel Casquilho, Jorge Buescu:
Standard deviation estimation from sums of unequal size samples. Monte Carlo Methods Appl. 28(3): 235-253 (2022) - Meriem Cherabli, Megdouda Ourbih-Tari, Meriem Boubalou:
Refined descriptive sampling simulated annealing algorithm for solving the traveling salesman problem. Monte Carlo Methods Appl. 28(2): 175-188 (2022) - Jem N. Corcoran, Caleb Miller:
Controlled accuracy Gibbs sampling of order-constrained non-iid ordered random variates. Monte Carlo Methods Appl. 28(4): 279-292 (2022) - Ivan Dimov, Venelin Todorov, Karl Sabelfeld:
A study of highly efficient stochastic sequences for multidimensional sensitivity analysis. Monte Carlo Methods Appl. 28(1): 1-12 (2022) - Nikolaos Halidias:
On the practical point of view of option pricing. Monte Carlo Methods Appl. 28(4): 307-318 (2022) - Nikolaos Halidias, Ioannis S. Stamatiou:
A note on the asymptotic stability of the semi-discrete method for stochastic differential equations. Monte Carlo Methods Appl. 28(1): 13-25 (2022) - Manfred Harringer:
Superposition of forward and backward motion. Monte Carlo Methods Appl. 28(4): 329-339 (2022) - Kamal Hiderah:
Carathéodory approximate solutions for a class of stochastic differential equations involving the local time at point zero with one-sided Lipschitz continuous drift coefficients. Monte Carlo Methods Appl. 28(2): 189-198 (2022) - Tetiana Ianevych, Iryna Rozora, Anatolii Pashko:
On one way of modeling a stochastic process with given accuracy and reliability. Monte Carlo Methods Appl. 28(2): 135-147 (2022) - Dmitriy Kolyukhin, Alexander Minakov:
Simulation of Gaussian random field in a ball. Monte Carlo Methods Appl. 28(1): 85-95 (2022) - Dmitriy Kolyukhin, Karl K. Sabelfeld, Ivan Dimov:
Sensitivity analysis of the concentration transport estimation in a turbulent flow. Monte Carlo Methods Appl. 28(3): 211-219 (2022) - Alexander B. Konovalov, Vitaly V. Vlasov, Sergey V. Kolchugin, Gennady Malyshkin, Rim Mukhamadiyev:
Monte Carlo simulation of sensitivity functions for few-view computed tomography of strongly absorbing media. Monte Carlo Methods Appl. 28(3): 269-278 (2022) - Karl K. Sabelfeld:
Randomized Monte Carlo algorithms for matrix iterations and solving large systems of linear equations. Monte Carlo Methods Appl. 28(2): 125-133 (2022) - Karl K. Sabelfeld, Ivan Aksyuk:
Simulation of drift-diffusion process at high Péclet numbers by the random walk on spheres method. Monte Carlo Methods Appl. 28(4): 349-367 (2022) - Karl K. Sabelfeld, Oleg Bukhasheev:
Global random walk on grid algorithm for solving Navier-Stokes and Burgers equations. Monte Carlo Methods Appl. 28(4): 293-305 (2022) - Karl K. Sabelfeld, Viacheslav Sapozhnikov:
Simulation of transient and spatial structure of the radiative flux produced by multiple recombinations of excitons. Monte Carlo Methods Appl. 28(3): 255-268 (2022) - Yousri Slaoui, Salima Helali:
Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials. Monte Carlo Methods Appl. 28(1): 45-59 (2022) - David A. Spade:
Approximate bounding of mixing time for multiple-step Gibbs samplers. Monte Carlo Methods Appl. 28(3): 221-233 (2022) - Hamida Talhi, Hiba Aiachi, Nadji Rahmania:
Bayesian estimation of a competing risk model based on Weibull and exponential distributions under right censored data. Monte Carlo Methods Appl. 28(2): 163-174 (2022) - Shijia Wang, Tim Swartz:
Moment matching adaptive importance sampling with skew-student proposals. Monte Carlo Methods Appl. 28(2): 149-162 (2022) - Frontmatter. Monte Carlo Methods Appl. 28(1): i-iv (2022)
- Frontmatter. Monte Carlo Methods Appl. 28(2): i-iv (2022)
- Az-eddine Zakrad, Abdelaziz Nasroallah:
Estimation of steady-state quantities of an HMM with some rarely generated emissions. Monte Carlo Methods Appl. 28(1): 27-44 (2022)
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