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The MCQMC Conference Series
The MCQMC Conference Series: P. LEcuyer and F. Puchhammer, Density Estimation by Monte Carlo and Quasi-Monte Carlo
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin, Quasi-Monte Carlo Software
Part II Regular Talks: P. LEcuyer, P. Marion, M. Godin, and F. Puchhamme, A Tool for Custom Construction of QMC and RQMC Point Sets
Art B. Owen, On Dropping the first Sobol Point
C. Lemieux and J. Wiart, On the Distribution of Scrambled Nets over Unanchored Boxes
S. Heinrich, Lower Bounds for the Number of Random Bits in Monte Carlo Algorithms
N. Binder, S. Fricke, and A. Keller, Massively Parallel Path Space Filtering
M. Hird, S. Livingstone, and G. Zanella, A fresh Take on Barker Dynamics for MCMC
P. Blondeel, P. Robbe, S. Francois, G. Lombaert and S. Vandewalle, On the Selection of Random Field Evaluation Points in the p-MLQMC Method
S. Si, Chris. J. Oates, Andrew B. Duncan, L. Carin, and Francois-Xavier Briol, Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Andrei S. Cozma and C. Reisinger, Simulation of Conditional Expectations under fast mean-reverting Stochastic Volatility Models
M. Huber, Generating from the Strauss Process using stitching
R. Nasdala and D. Potts, A Note on Transformed Fourier Systems for the Approximation of Non-Periodic Signals
M. Hofert, A. Prasad, and Mu Zhu, Applications of Multivariate Quasi-Random Sampling with Neural Networks
A. Keller and Matthijs Van keirsbilck, Artificial Neural Networks generated by Low Discrepancy Sequences.
The MCQMC Conference Series: P. LEcuyer and F. Puchhammer, Density Estimation by Monte Carlo and Quasi-Monte Carlo
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin, Quasi-Monte Carlo Software
Part II Regular Talks: P. LEcuyer, P. Marion, M. Godin, and F. Puchhamme, A Tool for Custom Construction of QMC and RQMC Point Sets
Art B. Owen, On Dropping the first Sobol Point
C. Lemieux and J. Wiart, On the Distribution of Scrambled Nets over Unanchored Boxes
S. Heinrich, Lower Bounds for the Number of Random Bits in Monte Carlo Algorithms
N. Binder, S. Fricke, and A. Keller, Massively Parallel Path Space Filtering
M. Hird, S. Livingstone, and G. Zanella, A fresh Take on Barker Dynamics for MCMC
P. Blondeel, P. Robbe, S. Francois, G. Lombaert and S. Vandewalle, On the Selection of Random Field Evaluation Points in the p-MLQMC Method
S. Si, Chris. J. Oates, Andrew B. Duncan, L. Carin, and Francois-Xavier Briol, Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Andrei S. Cozma and C. Reisinger, Simulation of Conditional Expectations under fast mean-reverting Stochastic Volatility Models
M. Huber, Generating from the Strauss Process using stitching
R. Nasdala and D. Potts, A Note on Transformed Fourier Systems for the Approximation of Non-Periodic Signals
M. Hofert, A. Prasad, and Mu Zhu, Applications of Multivariate Quasi-Random Sampling with Neural Networks
A. Keller and Matthijs Van keirsbilck, Artificial Neural Networks generated by Low Discrepancy Sequences.