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Publication search results
found 642 matches
- 2023
- Maryam Alsolami, Michael Mascagni:
A Metropolis random walk algorithm to estimate a lower bound of the star discrepancy. Monte Carlo Methods Appl. 29(2): 161-171 (2023) - Guilhem Balvet, Jean-Pierre Minier, Christophe Henry, Yelva Roustan, Martin Ferrand:
A time-step-robust algorithm to compute particle trajectories in 3-D unstructured meshes for Lagrangian stochastic methods. Monte Carlo Methods Appl. 29(2): 95-126 (2023) - Guilhem Balvet, Jean-Pierre Minier, Yelva Roustan, Martin Ferrand:
Analysis of wall-modelled particle/mesh PDF methods for turbulent parietal flows. Monte Carlo Methods Appl. 29(4): 275-305 (2023) - Pierre Bras, Gilles Pagès:
Convergence of Langevin-simulated annealing algorithms with multiplicative noise II: Total variation. Monte Carlo Methods Appl. 29(3): 203-219 (2023) - Mircea Dan Grigoriu:
Monte Carlo estimates of extremes of stationary/nonstationary Gaussian processes. Monte Carlo Methods Appl. 29(2): 127-142 (2023) - Caiyu Jiao, Changpin Li:
Monte Carlo method for parabolic equations involving fractional Laplacian. Monte Carlo Methods Appl. 29(1): 33-53 (2023) - Evgenia Kablukova, Karl K. Sabelfeld, Dmitry Protasov, Konstantin S. Zhuravlev:
Stochastic simulation of electron transport in a strong electrical field in low-dimensional heterostructures. Monte Carlo Methods Appl. 29(4): 307-322 (2023) - Anastasiya E. Kireeva, Ivan Aksyuk, Karl K. Sabelfeld:
Two stochastic algorithms for solving elastostatics problems governed by the Lamé equation. Monte Carlo Methods Appl. 29(2): 143-160 (2023) - Ines Lescheb, Walid Slimani:
On the stationarity and existence of moments of the periodic EGARCH process. Monte Carlo Methods Appl. 29(4): 333-350 (2023) - Sedigheh Zamani Mehreyan:
Bootstrap choice of non-nested autoregressive model with non-normal innovations. Monte Carlo Methods Appl. 29(3): 243-258 (2023) - Hadjer Nita, Faïrouz Afroun, Mouloud Cherfaoui, Djamil Aïssani:
Statistical analysis of the estimates of some stationary performances of the unreliable M/M/1/N queue with Bernoulli feedback. Monte Carlo Methods Appl. 29(4): 351-366 (2023) - Getut Pramesti:
Parameter least-squares estimation for time-inhomogeneous Ornstein-Uhlenbeck process. Monte Carlo Methods Appl. 29(1): 1-32 (2023) - Karl K. Sabelfeld, Anastasiya E. Kireeva:
Randomized vector iterative linear solvers of high precision for large dense system. Monte Carlo Methods Appl. 29(4): 323-332 (2023) - Irina A. Shalimova, Karl K. Sabelfeld:
Development and implementation of branching random walk on spheres algorithms for solving the 2D elastostatics Lamé equation. Monte Carlo Methods Appl. 29(1): 79-93 (2023) - Patricio Javier Valades-Pelayo, Manuel A. Ramirez-Cabrera, Argelia Balbuena-Ortega:
Linking the Monte Carlo radiative transfer algorithm to the radiative transfer equation. Monte Carlo Methods Appl. 29(2): 173-180 (2023) - Frontmatter. Monte Carlo Methods Appl. 29(1): i-iv (2023)
- Frontmatter. Monte Carlo Methods Appl. 29(3): i-iv (2023)
- Toshihiro Yamada:
Total variation bound for Milstein scheme without iterated integrals. Monte Carlo Methods Appl. 29(3): 221-242 (2023) - Az-eddine Zakrad, Abdelaziz Nasroallah:
Computation of the steady-state probability of Markov chain evolving on a mixed state space. Monte Carlo Methods Appl. 29(3): 259-274 (2023) - Bolong Zhang, Michael Mascagni:
Pass-efficient randomized LU algorithms for computing low-rank matrix approximation. Monte Carlo Methods Appl. 29(3): 181-202 (2023) - 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)
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