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Monte Carlo evaluation of multivariate normal probabilities
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“As a result, unlike many existing estimators (Vijverberg, 1997;Genz, 1992), we can construct an exact (albeit conservative) confidence interval for ℓ as follows.”
From The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting (2017) · cites this paper as Vijverberg, 1997
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Cites
Simulation and the Monte Carlo Method
Rubinstein, R. Y., & Kroese, D. P. (2016) · Wiley Series in Probability and Statistics · doi:10.1002/9781118631980 · Cited by 3,356
The Greatest of a Finite Set of Random Variables
Clark, C. E. (1961) · Operations Research · doi:10.1287/opre.9.2.145 · Cited by 708
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Cited by
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting
Botev, Z. I. (2017) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12162 · Cited by 247
Metadata
- Authors
- Vijverberg, W. P. M.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 1997-01
- Volume
- 76
- Issue
- 1-2
- Pages
- 281-307
- ISSN
- 0304-4076
- Cited by
- 54
- References
- 2
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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.