Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Ratick, Samuel J.
and
Schwarz, Guido
2009.
International Encyclopedia of Human Geography.
p.
175.
Omland, Steffen
Hefter, Mario
Ritter, Klaus
Brugger, Christian
De Schryver, Christian
Wehn, Norbert
and
Kostiuk, Anton
2015.
FPGA Based Accelerators for Financial Applications.
p.
191.
Blanchet, Jose H.
and
Glynn, Peter W.
2015.
Unbiased Monte Carlo for optimization and functions of expectations via multi-level randomization.
p.
3656.
Elsakout, Doaa
Christie, Mike
and
Lord, Gabriel
2015.
Multilevel Markov Chain Monte Carlo (MLMCMC) For Uncertainty Quantification.
Motamed, Mohammad
Nobile, Fabio
and
Tempone, Raúl
2015.
Analysis and computation of the elastic wave equation with random coefficients.
Computers & Mathematics with Applications,
Vol. 70,
Issue. 10,
p.
2454.
Zheng, Chao
2016.
Multi-Level Monte Carlo Simulation for the Heston Stochastic Volatility Model.
SSRN Electronic Journal,
Aslett, Louis
2016.
Dick, Josef
Kuo, Frances Y.
Le Gia, Quoc T.
and
Schwab, Christoph
2016.
Multilevel Higher Order QMC Petrov--Galerkin Discretization for Affine Parametric Operator Equations.
SIAM Journal on Numerical Analysis,
Vol. 54,
Issue. 4,
p.
2541.
Huda, A. S. N.
and
Živanović, Rastko
2016.
Distribution system reliability assessment using sequential multilevel Monte Carlo method.
p.
867.
Leonardi, Filippo
Mishra, Siddhartha
and
Schwab, Christoph
2016.
Numerical approximation of statistical solutions of planar, incompressible flows.
Mathematical Models and Methods in Applied Sciences,
Vol. 26,
Issue. 13,
p.
2471.
Burnett, Benedict
O'Callaghan, Simon C
and
Hulme, Tom
2016.
Risk Optimisation: Finding the Signal in the Noise.
SSRN Electronic Journal ,
Giles, Michael B.
Lester, Christopher
and
Whittle, James
2016.
Monte Carlo and Quasi-Monte Carlo Methods.
Vol. 163,
Issue. ,
p.
303.
Kuo, Frances Y.
and
Nuyens, Dirk
2016.
Application of Quasi-Monte Carlo Methods to Elliptic PDEs with Random Diffusion Coefficients: A Survey of Analysis and Implementation.
Foundations of Computational Mathematics,
Vol. 16,
Issue. 6,
p.
1631.
Hoel, Håkon
Häppölä, Juho
and
Tempone, Raúl
2016.
Monte Carlo and Quasi-Monte Carlo Methods.
Vol. 163,
Issue. ,
p.
29.
Gantner, Robert N.
2016.
A Generic C++ Library for Multilevel Quasi-Monte Carlo.
p.
1.
Bierig, Claudio
and
Chernov, Alexey
2016.
Approximation of probability density functions by the Multilevel Monte Carlo Maximum Entropy method.
Journal of Computational Physics,
Vol. 314,
Issue. ,
p.
661.
Farahany, David
Jaimungal, Sebastian
and
Jackson, Kenneth R.
2016.
Mixing LSMC and PDE Methods to Price Bermudan Options.
SSRN Electronic Journal,
Mishra, Siddhartha
Risebro, Nils Henrik
Schwab, Christoph
and
Tokareva, Svetlana
2016.
Numerical Solution of Scalar Conservation Laws with Random Flux Functions.
SIAM/ASA Journal on Uncertainty Quantification,
Vol. 4,
Issue. 1,
p.
552.
Levien, Ethan
and
Bressloff, Paul C.
2017.
Coupling sample paths to the thermodynamic limit in Monte Carlo estimators with applications to gene expression.
Journal of Computational Physics,
Vol. 346,
Issue. ,
p.
1.
Mohammadi, Bijan
2017.
Uncertainty quantification in littoral erosion.
Computers & Fluids,
Vol. 143,
Issue. ,
p.
120.