Abstract is missing.
- Density Estimation by Monte Carlo and Quasi-Monte CarloPierre L'Ecuyer, Florian Puchhammer. 3-21 [doi]
- Quasi-Monte Carlo SoftwareSou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin. 23-47 [doi]
- A Tool for Custom Construction of QMC and RQMC Point SetsPierre L'Ecuyer, Pierre Marion, Maxime Godin, Florian Puchhammer. 51-70 [doi]
- On Dropping the First Sobol' PointArt B. Owen. 71-86 [doi]
- On the Distribution of Scrambled (0, m, s)-Nets Over Unanchored BoxesChristiane Lemieux, Jaspar Wiart. 87-130 [doi]
- Lower Bounds for the Number of Random Bits in Monte Carlo AlgorithmsStefan Heinrich. 131-147 [doi]
- Massively Parallel Path Space FilteringNikolaus Binder, Sascha Fricke, Alexander Keller 0001. 149-168 [doi]
- A fresh Take on 'Barker Dynamics' for MCMCMax Hird, Samuel Livingstone, Giacomo Zanella. 169-184 [doi]
- On the Selection of Random Field Evaluation Points in the p-MLQMC MethodPhilippe Blondeel, Pieterjan Robbe, Stijn François, Geert Lombaert, Stefan Vandewalle. 185-203 [doi]
- Scalable Control Variates for Monte Carlo Methods Via Stochastic OptimizationShijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol. 205-221 [doi]
- Simulation of Conditional Expectations Under Fast Mean-Reverting Stochastic Volatility ModelsAndrei S. Cozma, Christoph Reisinger. 223-240 [doi]
- Generating From the Strauss Process Using StitchingMark Huber. 241-251 [doi]
- A Note on Transformed Fourier Systems for the Approximation of Non-periodic SignalsRobert Nasdala, Daniel Potts. 253-271 [doi]
- Applications of Multivariate Quasi-Random Sampling with Neural NetworksMarius Hofert, Avinash Prasad, Mu Zhu. 273-289 [doi]
- Artificial Neural Networks Generated by Low Discrepancy SequencesAlexander Keller 0001, Matthijs Van Keirsbilck. 291-311 [doi]