Monte Carlo Methods and Applications
1995 - 2025
Current editor(s): Karl K. Sabelfeld From De Gruyter Bibliographic data for series maintained by Peter Golla (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 28, issue 4, 2022
- Controlled accuracy Gibbs sampling of order-constrained non-iid ordered random variates pp. 279-292

- Corcoran Jem N. and Miller Caleb
- Global random walk on grid algorithm for solving Navier–Stokes and Burgers equations pp. 293-305

- Sabelfeld Karl K. and Bukhasheev Oleg
- On the practical point of view of option pricing pp. 307-318

- Halidias Nikolaos
- Estimation of entropy and extropy based on right censored data: A Bayesian non-parametric approach pp. 319-328

- Al-Labadi Luai and Tahir Muhammad
- Superposition of forward and backward motion pp. 329-339

- Harringer Manfred
- A random walk algorithm to estimate a lower bound of the star discrepancy pp. 341-348

- Alsolami Maryam and Mascagni Michael
- Simulation of drift-diffusion process at high Péclet numbers by the random walk on spheres method pp. 349-367

- Sabelfeld Karl K. and Aksyuk Ivan
Volume 28, issue 3, 2022
- Scrambling additive lagged-Fibonacci generators pp. 199-210

- Aldossari Haifa and Mascagni Michael
- Sensitivity analysis of the concentration transport estimation in a turbulent flow pp. 211-219

- Kolyukhin Dmitriy, Sabelfeld Karl K. and Dimov Ivan
- Approximate bounding of mixing time for multiple-step Gibbs samplers pp. 221-233

- Spade David
- Standard deviation estimation from sums of unequal size samples pp. 235-253

- Casquilho Miguel and Buescu Jorge
- Simulation of transient and spatial structure of the radiative flux produced by multiple recombinations of excitons pp. 255-268

- Sabelfeld Karl K. and Sapozhnikov Viacheslav
- Monte Carlo simulation of sensitivity functions for few-view computed tomography of strongly absorbing media pp. 269-278

- Konovalov Alexander, Vlasov Vitaly, Kolchugin Sergey, Malyshkin Gennady and Mukhamadiyev Rim
Volume 28, issue 2, 2022
- A high order weak approximation for jump-diffusions using Malliavin calculus and operator splitting pp. 97-110

- Akiyama Naho and Yamada Toshihiro
- Berry–Esseen inequalities for the fractional Black–Karasinski model of term structure of interest rates pp. 111-124

- Bishwal Jaya P. N.
- Randomized Monte Carlo algorithms for matrix iterations and solving large systems of linear equations pp. 125-133

- Sabelfeld Karl K.
- On one way of modeling a stochastic process with given accuracy and reliability pp. 135-147

- Ianevych Tetiana, Rozora Iryna and Pashko Anatolii
- Moment matching adaptive importance sampling with skew-student proposals pp. 149-162

- Wang Shijia and Swartz Tim
- Bayesian estimation of a competing risk model based on Weibull and exponential distributions under right censored data pp. 163-174

- Talhi Hamida, Aiachi Hiba and Rahmania Nadji
- Refined descriptive sampling simulated annealing algorithm for solving the traveling salesman problem pp. 175-188

- Cherabli Meriem, Ourbih-Tari Megdouda and Boubalou Meriem
- Carathéodory approximate solutions for a class of stochastic differential equations involving the local time at point zero with one-sided Lipschitz continuous drift coefficients pp. 189-198

- Hiderah Kamal
Volume 28, issue 1, 2022
- A study of highly efficient stochastic sequences for multidimensional sensitivity analysis pp. 1-12

- Dimov Ivan, Todorov Venelin and Sabelfeld Karl
- A note on the asymptotic stability of the semi-discrete method for stochastic differential equations pp. 13-25

- Halidias Nikolaos and Stamatiou Ioannis S.
- Estimation of steady-state quantities of an HMM with some rarely generated emissions pp. 27-44

- Zakrad Az-eddine and Nasroallah Abdelaziz
- Recursive regression estimation based on the two-time-scale stochastic approximation method and Bernstein polynomials pp. 45-59

- Slaoui Yousri and Helali Salima
- Unbiased estimation of the gradient of the log-likelihood for a class of continuous-time state-space models pp. 61-83

- Ballesio Marco and Jasra Ajay
- Simulation of Gaussian random field in a ball pp. 85-95

- Kolyukhin Dmitriy and Minakov Alexander
Volume 27, issue 4, 2021
- A stochastic model, simulation, and application to aggregation of cadmium sulfide nanocrystals upon evaporation of the Langmuir–Blodgett matrix pp. 289-299

- Svit Kirill, Zhuravlev Konstantin, Kireev Sergey and Sabelfeld Karl K.
- Random walk on spheres algorithm for solving steady-state and transient diffusion-recombination problems pp. 301-313

- Shalimova Irina and Sabelfeld Karl K.
- A diffusion Monte Carlo method for charge density on a conducting surface at non-constant potentials pp. 315-324

- Yu Unjong, Jang Hoseung and Hwang Chi-Ok
- A global random walk on grid algorithm for second order elliptic equations pp. 325-339

- Sabelfeld Karl K., Smirnov Dmitry, Dimov Ivan and Todorov Venelin
- Global sensitivity analysis of statistical models by double randomization method pp. 341-346

- Kolyukhin Dmitriy
- A fully backward representation of semilinear PDEs applied to the control of thermostatic loads in power systems pp. 347-371

- Izydorczyk Lucas, Oudjane Nadia and Russo Francesco
- 3D sputtering simulations of the CZTS, Si and CIGS thin films using Monte-Carlo method pp. 373-382

- Refas Salah Eddine Chouaib, Bouazza Abdelkader and Belhadji Youcef
Volume 27, issue 3, 2021
- Estimating drift and minorization coefficients for Gibbs sampling algorithms pp. 195-209

- Spade David A.
- A global random walk on grid algorithm for second order elliptic equations pp. 211-225

- Sabelfeld Karl K. and Smirnov Dmitrii
- Neural network regression for Bermudan option pricing pp. 227-247

- Lapeyre Bernard and Lelong Jérôme
- Optimising Poisson bridge constructions for variance reduction methods pp. 249-275

- Beentjes Casper H. L.
- On the existence of posterior mean for Bayesian logistic regression pp. 277-288

- Pham Huong T. T. and Pham Hoa
Volume 27, issue 2, 2021
- Automatic control variates for option pricing using neural networks pp. 91-104

- El Filali Ech-Chafiq Zineb, Lelong Jérôme and Reghai Adil
- On the absorption probabilities and mean time for absorption for discrete Markov chains pp. 105-115

- Halidias Nikolaos
- High order weak approximation for irregular functionals of time-inhomogeneous SDEs pp. 117-136

- Yamada Toshihiro
- Optimal potential functions for the interacting particle system method pp. 137-152

- Chraibi Hassane, Dutfoy Anne, Galtier Thomas and Garnier Josselin
- On intersection volumes of confidence hyper-ellipsoids and two geometric Monte Carlo methods pp. 153-167

- Rabiei Nima and Saleeby Elias G.
- On a Monte Carlo scheme for some linear stochastic partial differential equations pp. 169-193

- Nakagawa Takuya and Tanaka Akihiro
Volume 27, issue 1, 2021
- On the dependence structure and quality of scrambled (t, m, s)-nets pp. 1-26

- Wiart Jaspar, Lemieux Christiane and Dong Gracia Y.
- Discretization and machine learning approximation of BSDEs with a constraint on the Gains-process pp. 27-55

- Kharroubi Idris, Lim Thomas and Warin Xavier
- Body tail adaptive kernel density estimation for nonnegative heavy-tailed data pp. 57-69

- Ziane Yasmina, Zougab Nabil and Adjabi Smail
- Sensitivity analysis of stochastic frontier analysis models pp. 71-90

- Sakouvogui Kekoura, Saleem Shaik, Doetkott Curt and Magel Rhonda
Volume 26, issue 4, 2020
- Drift velocity in GaN semiconductors: Monte Carlo simulation and comparison with experimental measurements pp. 263-271

- Kablukova Evgenia, Sabelfeld Karl, Protasov Dmitrii Y. and Zhuravlev Konstantin S.
- Gaussian variant of Freivalds’ algorithm for efficient and reliable matrix product verification pp. 273-284

- Ji Hao, Mascagni Michael and Li Yaohang
- An approximate formula for calculating the expectations of functionals from random processes based on using the Wiener chaos expansion pp. 285-292

- Egorov Alexander
- Implementing de-biased estimators using mixed sequences pp. 293-301

- Polala Arun Kumar and Ökten Giray
- Hidden Markov Model with Markovian emission pp. 303-313

- Elkimakh Karima and Nasroallah Abdelaziz
- On the density of lines and Santalo’s formula for computing geometric size measures pp. 315-323

- El Khaldi Khaldoun and Saleeby Elias G.
- Constructing a confidence interval for the ratio of normal distribution quantiles pp. 325-334

- Malekzadeh Ahad and Mahmoudi Seyed Mahdi
- Random walk on ellipsoids method for solving elliptic and parabolic equations pp. 335-353

- Shalimova Irina and Sabelfeld Karl K.
Volume 26, issue 3, 2020
- QMC integration errors and quasi-asymptotics pp. 171-176

- Sobol Ilya M. and Shukhman Boris V.
- Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems pp. 177-191

- Sabelfeld Karl K. and Popov Nikita
- Multilevel Monte Carlo by using the Halton sequence pp. 193-203

- Nagy Shady Ahmed, El-Beltagy Mohamed A. and Wafa Mohamed
- Estimating marginal likelihoods from the posterior draws through a geometric identity pp. 205-221

- Reichl Johannes
- Examining sharp restart in a Monte Carlo method for the linearized Poisson–Boltzmann equation pp. 223-244

- Thrasher W. John and Mascagni Michael
- Statistical modeling of three-dimensional fractal point sets with a given spatial probability distribution pp. 245-252

- Kolyukhin Dmitriy
- A weighted log-rank test for comparing two survival curves pp. 253-262

- Lee Seung-Hwan and Lee Eun-Joo
Volume 26, issue 2, 2020
- An index of teaching performance based on students’ feedback pp. 83-91

- Marozzi Marco and Chowdhury Shovan
- A neural network assisted Metropolis adjusted Langevin algorithm pp. 93-111

- Müller Christian, Diedam Holger, Mrziglod Thomas and Schuppert Andreas
- Unbiased estimation of the solution to Zakai’s equation pp. 113-129

- Ruzayqat Hamza M. and Jasra Ajay
- Multilevel Monte Carlo methods and lower–upper bounds in initial margin computations pp. 131-161

- Bourgey Florian, Stefano De Marco, Gobet Emmanuel and Zhou Alexandre
- Binary decompositions of probability densities and random-bit simulation pp. 163-169

- Nekrutkin Vladimir
Volume 26, issue 1, 2020
- Why simple quadrature is just as good as Monte Carlo pp. 1-16

- Vanslette Kevin, Al Alsheikh Abdullatif and Youcef-Toumi Kamal
- Describing the Pearson 𝑅 distribution of aggregate data pp. 17-32

- Torres David J.
- Approximation of Euler–Maruyama for one-dimensional stochastic differential equations involving the maximum process pp. 33-47

- Hiderah Kamal
- A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: A prior sensitivity analysis pp. 49-68

- Thi Thu Pham Huong, Pham Hoa and Nur Darfiana
- A Bayesian procedure for bandwidth selection in circular kernel density estimation pp. 69-82

- Bedouhene Kahina and Zougab Nabil
| |