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Efficient inference for spatial extreme value processes associated to log-Gaussian random functions
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“Aesthetic considerations aside, the problem of estimating ℓ or simulating from f (z) arises frequently in various contexts such as: Markov random fields (Bolin and Lindgren, 2015); inference for spacial processes (Wadsworth and Tawn, 2014); likelihood estimation for max-stable processes (Huser and Davison, 2013;Genton et al., 2011);”
From The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting (2017) · cites this paper as Wadsworth and Tawn, 2014
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Citations
Cites
Numerical Computation of Multivariate Normal Probabilities
Genz, A. (1992) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1992.10477010 · Cited by 1,020
Research works printed but not linked: 22
- 1977, 14, 732, 10.2307/3213346 · doi:10.2307/3213346
- 1991, J R STATIST SOC B, 53, 377, 10.1111/j.2517-6161.1991.tb01830.x · DOI · Paper page
- 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 468, 581, 10.1098/rspa.2011.0412 · DOI · Paper page
- 2012, STATIST SCI, 27, 161, 10.1214/11-STS376 · DOI · Paper page
- 1984, ANN PROB, 12, 1194, 10.1214/aop/1176993148 · doi:10.1214/aop/1176993148
- 2013, Biometrika, 100, 111, 10.1093/biomet/ass067 · DOI
- 2011, Biometrika, 98, 481, 10.1093/biomet/asr020 · DOI
- 2002, J COMP GRAPH STATIST, 11, 950, 10.1198/106186002394 · DOI · Paper page
- 2007, ANN APPL PROB, 17, 537, 10.1214/105051606000000835 · DOI
- 2004, J R STATIST SOC, 66, 497, 10.1111/j.1467-9868.2004.02050.x · DOI · Paper page
- 2013, Biometrika, 100, 511, 10.1093/biomet/ass089 · DOI · Paper page
- 2009, ANN PROB, 37, 2042, 10.1214/09-AOP455 · doi:10.1214/09-aop455
- LEDFORD, 1996, Biometrika, 83, 169, 10.1093/biomet/83.1.169 · DOI · Paper page
- 2012, EXTREMES, 15, 89, 10.1007/s10687-011-0128-8 · doi:10.1007/s10687-011-0128-8
- 2010, 105, 263, 10.1198/jasa.2009.tm08577 · DOI · Paper page
- 2012, STATIST SINICA, 22, 813
- 2006, BERNOULLI, 12, 917, 10.3150/bj/1161614952 · DOI
- 2002, EXTREMES, 5, 33, 10.1023/A:1020977924878 · DOI · Paper page
- SMITH, 1997, Biometrika, 84, 249, 10.1093/biomet/84.2.249 · DOI · Paper page
- Stephenson, 2005, Biometrika, 92, 213, 10.1093/biomet/92.1.213 · doi:10.1093/biomet/92.1.213
- TAWN, 1990, Biometrika, 77, 245, 10.1093/biomet/77.2.245 · DOI · Paper page
- 2012, Biometrika, 99, 253, 10.1093/biomet/asr080 · DOI · Paper page
Cited by
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
- Wadsworth, J. L., & Tawn, J. A.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-11-13
- Volume
- 101
- Issue
- 1
- Pages
- 1-15
- ISSN
- 0006-3444
- 1464-3510
- Cited by
- 89
- References
- 1
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- This page
- CoChat. (2026). Citation check: Efficient inference for spatial extreme value processes associated to log-Gaussian random functions. https://app.cochat.ai/papers/10.1093/biomet/ast042
- The paper
- Wadsworth, J. L., & Tawn, J. A. (2014). Efficient inference for spatial extreme value processes associated to log-Gaussian random functions. Biometrika. https://doi.org/10.1093/biomet/ast042
Data sources
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.
