The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Composite likelihood estimation for the Brown–Resnick process
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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 Huser and Davison, 2013
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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: 13
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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
- Huser, R., & Davison, A. C.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-02-20
- Volume
- 100
- Issue
- 2
- Pages
- 511-518
- ISSN
- 0006-3444
- 1464-3510
- Cited by
- 104
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Composite likelihood estimation for the Brown–Resnick process. https://app.cochat.ai/papers/10.1093/biomet/ass089
- The paper
- Huser, R., & Davison, A. C. (2013). Composite likelihood estimation for the Brown–Resnick process. Biometrika. https://doi.org/10.1093/biomet/ass089
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.