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Common reporting errors in subgroup analysis: a comparison of interaction and stratified regression models. [PDF]
BMC Med Res MethodolTsoi C, Sun R.
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Robust Fast 3D Beam Alignment for UAV-Assisted mmWave and Terahertz Communications. [PDF]
Sensors (Basel)Gafari L, Attaoui W, Sabir E, Driouch E.
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On quasi-Monte Carlo integrations
Mathematics and Computers in Simulation, 1998Relations between Monte Carlo and quasi-Monte Carlo methods are analysed from both theoretical and practical points of view with special emphasis on high-dimensional integration.
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Journal of Computational Physics, 1995
Monte Carlo methods for multidimensional integration using random (pseudo-random) and quasi-random nodes are compared both through error analysis and extensive numerical computations. Known error expressions in terms of variance, discrepancy and variation are reviewed, and the expected advantages of some quasi-random nodes (Halton, Sobol', Faure) of ...
Morokoff, William J. +1 more
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Monte Carlo methods for multidimensional integration using random (pseudo-random) and quasi-random nodes are compared both through error analysis and extensive numerical computations. Known error expressions in terms of variance, discrepancy and variation are reviewed, and the expected advantages of some quasi-random nodes (Halton, Sobol', Faure) of ...
Morokoff, William J. +1 more
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Monte Carlo, Quasi-Monte Carlo, and Randomized Quasi-Monte Carlo
2000This paper surveys recent research on using Monte Carlo techniques to improve quasi-Monte Carlo techniques. Randomized quasi-Monte Carlo methods provide a basis for error estimation. They have, in the special case of scrambled nets, also been observed to improve accuracy.
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Grid-based Quasi-Monte Carlo Applications
Monte Carlo Methods and Applications, 2005Summary: We extend the techniques used in grid-based Monte Carlo applications to grid-based quasi-Monte Carlo applications. These techniques include an \(N\)-out-of-\(M\) strategy for efficiently scheduling subtasks on the grid, lightweight checkpointing for grid subtask status recovery, a partial result validation scheme to verify the correctness of ...
Yaohang Li, Michael Mascagni
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On Monte Carlo and Quasi-Monte Carlo for Matrix Computations
2018This paper focuses on minimizing further the communications in Monte Carlo methods for Linear Algebra and thus improving the overall performance. The focus is on producing set of small number of covering Markov chains which are much longer that the usually produced ones.
Vassil Alexandrov 0001 +5 more
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Zufall und Quasi-Monte Carlo Ansätze / Randomness and Quasi-Monte Carlo Approaches
Jahrbücher für Nationalökonomie und Statistik, 1999Zusammenfassung Monte Carlo Methoden haben sich auf vielen Gebieten der Statistik und Ökonometrie als wertvolles Instrument erwiesen. Die übliche Verwendung von Pseudozufallszahlen führt dazu, daß der Zusammenhang zwischen einem allgemeinen Zufallsbegriff und der Anwendung in Monte Carlo Verfahren eher ein lockerer ist.
Peter Winker, Kai-Tai Fang
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2004
This chapter discusses alternatives to Monte Carlo simulation known as quasi-Monte Carlo or low-discrepancy methods. These methods differ from ordinary Monte Carlo in that they make no attempt to mimic randomness. Indeed, they seek to increase accuracy specifically by generating points that are too evenly distributed to be random.
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This chapter discusses alternatives to Monte Carlo simulation known as quasi-Monte Carlo or low-discrepancy methods. These methods differ from ordinary Monte Carlo in that they make no attempt to mimic randomness. Indeed, they seek to increase accuracy specifically by generating points that are too evenly distributed to be random.
openaire +1 more source