Multilevel higher-order quasi-Monte Carlo Bayesian estimation J Dick, RN Gantner, QT Le Gia, C Schwab Mathematical Models and Methods in Applied Sciences 27 (05), 953-995, 2017 | 55 | 2017 |
Computational higher order quasi-Monte Carlo integration RN Gantner, C Schwab Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April …, 2016 | 52 | 2016 |
Quasi-Monte Carlo integration for affine-parametric, elliptic PDEs: local supports imply product weights RN Gantner, L Herrmann, C Schwab SIAM Journal on Numerical Analysis 56, 111-135, 2018 | 46 | 2018 |
Higher Order Quasi-Monte Carlo for Bayesian Shape Inversion RN Gantner, MD Peters http://www.sam.math.ethz.ch/sam_reports/reports_final/reports2016/2016-42_fp.pdf, 2016 | 32 | 2016 |
Dimension Truncation in QMC for Affine-Parametric Operator Equations RN Gantner http://www.sam.math.ethz.ch/sam_reports/counter/ct.php?file=/sam_reports …, 2017 | 23 | 2017 |
Higher order Quasi-Monte Carlo integration for Bayesian Estimation J Dick, RN Gantner, QTL Gia, C Schwab arXiv preprint arXiv:1602.07363, 2016 | 23 | 2016 |
Multilevel QMC with Product Weights for Affine-Parametric, Elliptic PDEs RN Gantner, L Herrmann, C Schwab http://www.sam.math.ethz.ch/sam_reports/reports_final/reports2016/2016-54_fp.pdf, 2016 | 21 | 2016 |
A generic C++ library for multilevel quasi-Monte Carlo RN Gantner Proceedings of the Platform for Advanced Scientific Computing Conference, 1-12, 2016 | 17 | 2016 |
Multilevel Monte Carlo for the Feynman-Kac formula for the Laplace equation S Pauli, RN Gantner, P Arbenz, A Adelmann BIT Numerical Mathematics 55 (4), 1125-1143, 2015 | 13 | 2015 |
Computational Higher-Order Quasi-Monte Carlo for Random Partial Differential Equations RN Gantner ETH Zurich, 2017 | 5 | 2017 |
Binned Multilevel Monte Carlo for Bayesian Inverse Problems with Large Data RN Gantner, C Schillings, C Schwab Domain Decomposition Methods in Science and Engineering XXII, 511-519, 2016 | 1 | 2016 |