User:MargaretRDonald/sandbox/Håvard Rue
MargaretRDonald/sandbox/Håvard Rue | |
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| Academic career |
Scholia has a profile for Håvard Rue (Q102633790).
Håvard Rue is a Norwegian statistician, noted for his contributions to Bayesian statistical methodology, in particular for the faster computation possible with INLA (Integrated Nested Laplace Approximations),[1][2] Gaussian Markov Random Fields, and spatial statistics.
He was formerly professor of statistics at the Norwegian University of Science and Technology, where he earned his Ph.D. in 1993, but is now professor of at the King Abdullah University of Science and Technology.
Selected publications[edit]
- Finn Lindgren; Håvard Rue; Johan Lindström (4 August 2011). "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach". Journal of the Royal Statistical Society Series B: Statistical Methodology. 73 (4): 423–498. doi:10.1111/J.1467-9868.2011.00777.X. ISSN 1369-7412. Wikidata Q57014414.
- Håvard Rue (2001). "Fast sampling of Gaussian Markov random fields". Journal of the Royal Statistical Society Series B: Statistical Methodology. 63 (2): 325–338. doi:10.1111/1467-9868.00288. ISSN 1369-7412. Zbl 0979.62075. Wikidata Q106513077.
- Håvard Rue; Sara Martino; Nicolas Chopin (April 2009). "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations". Journal of the Royal Statistical Society Series B: Statistical Methodology. 71 (2): 319–392. doi:10.1111/J.1467-9868.2008.00700.X. ISSN 1369-7412. Zbl 1248.62156. Wikidata Q59410291.
References[edit]
- ^ Timothy D. Meehan; Nicole L. Michel; Håvard Rue (2020). "Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R". Journal of Statistical Software. 95 (2). doi:10.18637/JSS.V095.I02. ISSN 1548-7660. Wikidata Q106514688.
- ^ Håvard Rue; Sara Martino; Nicolas Chopin (April 2009). "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations". Journal of the Royal Statistical Society Series B: Statistical Methodology. 71 (2): 319–392. doi:10.1111/J.1467-9868.2008.00700.X. ISSN 1369-7412. Zbl 1248.62156. Wikidata Q59410291.
External links[edit]
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