A quasi-Monte Carlo Metropolis algorithm
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Publication:5385856
DOI10.1073/pnas.0409596102zbMath1135.65001OpenAlexW2121915665WikidataQ33853404 ScholiaQ33853404MaRDI QIDQ5385856
Publication date: 7 May 2008
Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1073/pnas.0409596102
Markov chain Monte CarloGibbs samplerlow discrepancyrandomized quasi-Monte Carlocompletely uniformly distributed inputs
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Cites Work
- Low discrepancy sequences for solving the Boltzmann equation
- Scrambled net variance for integrals of smooth functions
- Antithetic coupling of two Gibbs sampler chains.
- On quasi-Monte Carlo simulation of stochastic differential equations
- Multidimensional numerical integration using pseudorandom numbers
- Randomization of Number Theoretic Methods for Multiple Integration
- A Quasi-Monte Carlo Approach to Particle Simulation of the Heat Equation
- Quadrature Error Bounds with Applications to Lattice Rules
- Monte Carlo sampling methods using Markov chains and their applications
