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Publication search results
found 25 matches
- 2020
- Kahina Bedouhene, Nabil Zougab:
A Bayesian procedure for bandwidth selection in circular kernel density estimation. Monte Carlo Methods Appl. 26(1): 69-82 (2020) - Florian Bourgey, Stefano De Marco, Emmanuel Gobet, Alexandre Zhou:
Multilevel Monte Carlo methods and lower-upper bounds in initial margin computations. Monte Carlo Methods Appl. 26(2): 131-161 (2020) - Alexander Egorov:
An approximate formula for calculating the expectations of functionals from random processes based on using the Wiener chaos expansion. Monte Carlo Methods Appl. 26(4): 285-292 (2020) - Khaldoun El-Khaldi, Elias G. Saleeby:
On the density of lines and Santalo's formula for computing geometric size measures. Monte Carlo Methods Appl. 26(4): 315-323 (2020) - Karima Elkimakh, Abdelaziz Nasroallah:
Hidden Markov Model with Markovian emission. Monte Carlo Methods Appl. 26(4): 303-313 (2020) - Kamal Hiderah:
Approximation of Euler-Maruyama for one-dimensional stochastic differential equations involving the maximum process. Monte Carlo Methods Appl. 26(1): 33-47 (2020) - Hao Ji, Michael Mascagni, Yaohang Li:
Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification. Monte Carlo Methods Appl. 26(4): 273-284 (2020) - Evgenia Kablukova, Karl Sabelfeld, Dmitrii Y. Protasov, Konstantin S. Zhuravlev:
Drift velocity in GaN semiconductors: Monte Carlo simulation and comparison with experimental measurements. Monte Carlo Methods Appl. 26(4): 263-271 (2020) - Dmitriy Kolyukhin:
Statistical modeling of three-dimensional fractal point sets with a given spatial probability distribution. Monte Carlo Methods Appl. 26(3): 245-252 (2020) - Seung-Hwan Lee, Eun-Joo Lee:
A weighted log-rank test for comparing two survival curves. Monte Carlo Methods Appl. 26(3): 253-262 (2020) - Ahad Malekzadeh, Seyed Mahdi Mahmoudi:
Constructing a confidence interval for the ratio of normal distribution quantiles. Monte Carlo Methods Appl. 26(4): 325-334 (2020) - Marco Marozzi, Shovan Chowdhury:
An index of teaching performance based on students' feedback. Monte Carlo Methods Appl. 26(2): 83-91 (2020) - Christian Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert:
A neural network assisted Metropolis adjusted Langevin algorithm. Monte Carlo Methods Appl. 26(2): 93-111 (2020) - Shady Ahmed Nagy, Mohamed A. El-Beltagy, Mohamed I. Wafa:
Multilevel Monte Carlo by using the Halton sequence. Monte Carlo Methods Appl. 26(3): 193-203 (2020) - Vladimir Nekrutkin:
Binary decompositions of probability densities and random-bit simulation. Monte Carlo Methods Appl. 26(2): 163-169 (2020) - Huong T. T. Pham, Hoa Pham, Darfiana Nur:
A Bayesian inference for the penalizedspline joint models of longitudinal and time-to-event data: A priorsensitivity analysis. Monte Carlo Methods Appl. 26(1): 49-68 (2020) - Arun Kumar Polala, Giray Ökten:
Implementing de-biased estimators using mixed sequences. Monte Carlo Methods Appl. 26(4): 293-301 (2020) - Johannes Reichl:
Estimating marginal likelihoods from the posterior draws through a geometric identity. Monte Carlo Methods Appl. 26(3): 205-221 (2020) - Hamza M. Ruzayqat, Ajay Jasra:
Unbiased estimation of the solution to Zakai's equation. Monte Carlo Methods Appl. 26(2): 113-129 (2020) - Karl K. Sabelfeld, Nikita Popov:
Monte Carlo tracking drift-diffusion trajectories algorithm for solving narrow escape problems. Monte Carlo Methods Appl. 26(3): 177-191 (2020) - Irina A. Shalimova, Karl K. Sabelfeld:
Random walk on ellipsoids method for solving elliptic and parabolic equations. Monte Carlo Methods Appl. 26(4): 335-353 (2020) - Ilya M. Sobol, Boris V. Shukhman:
QMC integration errors and quasi-asymptotics. Monte Carlo Methods Appl. 26(3): 171-176 (2020) - W. John Thrasher, Michael Mascagni:
Examining sharp restart in a Monte Carlo method for the linearized Poisson-Boltzmann equation. Monte Carlo Methods Appl. 26(3): 223-244 (2020) - David J. Torres:
Describing the Pearson R distribution of aggregate data. Monte Carlo Methods Appl. 26(1): 17-32 (2020) - Kevin Vanslette, Abdullatif Al-Alshaikh, Kamal Youcef-Toumi:
Why simple quadrature is just as good as Monte Carlo. Monte Carlo Methods Appl. 26(1): 1-16 (2020)
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