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Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight
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Cited by
Arasaratnam, I., & Haykin, S. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2019800 · Cited by 3,380
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Proust-Lima, C., Philipps, V., & Liquet, B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v078.i02 · Cited by 1,106
A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
Rahman, S., & Xu, H. (2004) · Probabilistic Engineering Mechanics · doi:10.1016/j.probengmech.2004.04.003 · Cited by 567
A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics
Xu, H., & Rahman, S. (2004) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.1135 · Cited by 440
Factor Analysis of Ordinal Variables: A Comparison of Three Approaches
Jöreskog, K. G., & Moustaki, I. (2001) · Multivariate Behavioral Research · doi:10.1207/s15327906347-387 · Cited by 374
Metadata
- Authors
- Genz, A., & Keister, B. D.
- Venue
- Journal of Computational and Applied Mathematics
- Publisher
- Elsevier BV
- Published
- 1996-07
- Volume
- 71
- Issue
- 2
- Pages
- 299-309
- ISSN
- 0377-0427 (ISSN-L)
- OpenAlex
- W2109012275
- Cited by
- 201
- References
- 0
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight. https://app.cochat.ai/papers/10.1016/0377-0427(95)00232-4
- The paper
- Genz, A., & Keister, B. D. (1996). Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight. Journal of Computational and Applied Mathematics. https://doi.org/10.1016/0377-0427(95)00232-4
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
