Frances Y. Kuo
Numerical Analysis · 2003–2014
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Numerical Analysis — 14 citations into it; #380 of 3,586 by trust here, #681 by citations
Whom Frances Y. Kuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Frances Y. Kuo overall
- M. Giles
- Dirk Nuyens
- Simon Mak
- Sushant S. Garud
- Yutian Chen
- Ilya M. Sobol
- O. Chernukhin
- Dmitri Kavetski
- Bin Zou
- Stephen Joe
Papers from Frances Y. Kuo's perspective
Ordered by how strongly the researchers Frances Y. Kuo trusts endorse each paper. Same corpus, a different order for every researcher.
- On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
- Quasi-Random Sequences and Their Discrepancies
- Algorithm 659
- Monte Carlo methods in finance
- Low discrepancy sequences in high dimensions: How well are their projections distributed?
- Random number generation and Quasi-Monte Carlo methods
- Average case complexity of multivariate integration
- A Note on the Generation of Random Normal Deviates
- On the distribution of points in a cube and the approximate evaluation of integrals
- When Are Quasi-Monte Carlo Algorithms Efficient for High Dimensional Integrals?
Their papers
- Acta Numerica: High dimensional integration - the Quasi-Monte Carlo way (2014) — 702 citations
- Constructing Sobol Sequences with Better Two-Dimensional Projections (2008) — 448 citations
- Lattice Rules for Multivariate Approximation in the Worst Case Setting (2006) — 73 citations
- Lifting the Curse of Dimensionality (2005) — 193 citations
- Remark on algorithm 659: Implementing Sobol's quasirandom sequence generator (2003) — 443 citations