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Local antithetic sampling with scrambled nets

Local antithetic sampling with scrambled nets

4 November 2008
Art B. Owen
ArXiv (abs)PDFHTML

Papers citing "Local antithetic sampling with scrambled nets"

19 / 19 papers shown
Title
Skewness of a randomized quasi-Monte Carlo estimate
Skewness of a randomized quasi-Monte Carlo estimate
Z. Pan
Art B. Owen
45
3
0
09 May 2024
An Efficient Quasi-Random Sampling for Copulas
An Efficient Quasi-Random Sampling for Copulas
Sumin Wang
Chenxian Huang
Yongdao Zhou
Min-Qian Liu
101
0
0
08 Mar 2024
Conditional Quasi-Monte Carlo with Constrained Active Subspaces
Conditional Quasi-Monte Carlo with Constrained Active Subspaces
Sifan Liu
75
2
0
26 Dec 2022
Pre-integration via Active Subspaces
Pre-integration via Active Subspaces
Sifan Liu
Art B. Owen
62
3
0
06 Feb 2022
Where are the logs?
Where are the logs?
Art B. Owen
Z. Pan
60
6
0
13 Oct 2021
Quasi-Newton Quasi-Monte Carlo for variational Bayes
Quasi-Newton Quasi-Monte Carlo for variational Bayes
Sifan Liu
Art B. Owen
BDL
41
4
0
07 Apr 2021
On dropping the first Sobol' point
On dropping the first Sobol' point
Art B. Owen
84
30
0
18 Aug 2020
Monte Carlo integration of non-differentiable functions on
  $[0,1]^ι$, $ι=1,\dots,d$, using a single determinantal point pattern
  defined on $[0,1]^d$
Monte Carlo integration of non-differentiable functions on [0,1]ι[0,1]^ι[0,1]ι, ι=1,…,dι=1,\dots,dι=1,…,d, using a single determinantal point pattern defined on [0,1]d[0,1]^d[0,1]d
Jean‐François Coeurjolly
Adrien Mazoyer
P. Amblard
81
7
0
28 Feb 2020
A strong law of large numbers for scrambled net integration
A strong law of large numbers for scrambled net integration
Art B. Owen
Daniel Rudolf
84
26
0
18 Feb 2020
Sensitivity estimation of conditional value at risk using randomized
  quasi-Monte Carlo
Sensitivity estimation of conditional value at risk using randomized quasi-Monte Carlo
Zhijian He
18
8
0
20 Aug 2019
Quasi-random sampling for multivariate distributions via generative
  neural networks
Quasi-random sampling for multivariate distributions via generative neural networks
Marius Hofert
Avinash Prasad
Mu Zhu
102
15
0
01 Nov 2018
Quasi-Monte Carlo Variational Inference
Quasi-Monte Carlo Variational Inference
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
BDL
105
60
0
04 Jul 2018
Improving approximate Bayesian computation via quasi-Monte Carlo
Improving approximate Bayesian computation via quasi-Monte Carlo
Alexander K. Buchholz
Nicolas Chopin
80
26
0
03 Oct 2017
Monte Carlo with Determinantal Point Processes
Monte Carlo with Determinantal Point Processes
Rémi Bardenet
A. Hardy
63
79
0
02 May 2016
Asymptotic Normality of Scrambled Geometric Net Quadrature
Asymptotic Normality of Scrambled Geometric Net Quadrature
Kinjal Basu
Rajarshi Mukherjee
49
10
0
21 Jan 2016
Three discussions of the paper "sequential quasi-Monte Carlo sampling",
  by M. Gerber and N. Chopin
Three discussions of the paper "sequential quasi-Monte Carlo sampling", by M. Gerber and N. Chopin
Mathieu Gerber
Igor Prunster
N. Chopin
Robin J. Ryder
90
69
0
24 May 2015
Scrambled geometric net integration over general product spaces
Scrambled geometric net integration over general product spaces
Kinjal Basu
Art B. Owen
45
8
0
10 Mar 2015
On Integration Methods Based on Scrambled Nets of Arbitrary Size
On Integration Methods Based on Scrambled Nets of Arbitrary Size
Mathieu Gerber
96
16
0
12 Aug 2014
Higher order scrambled digital nets achieve the optimal rate of the root
  mean square error for smooth integrands
Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands
J. Dick
125
47
0
06 Jul 2010
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