An extended Gaussian max-stable process model for spatial extremes

By E. Smith, Alec Stephenson. 2009

65 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Soil Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f07e979257c8d71ac298cc508905a71c2d913dc1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. A. C. Davison
2. Mathieu Ribatet
3. Raphaël Huser
4. Simone A. Padoan
5. Emeric Thibaud
6. Mehdi Mohammad Gholamrezaee
7. Juliette Blanchet
8. Cristiano Varin

In Soil Science

1. David Firth
2. Simone A. Padoan
3. Daniel Cooley
4. Mathieu Ribatet
5. Walter Racugno
6. Mehdi Mohammad Gholamrezaee
7. Cristiano Varin
8. A. C. Davison

In Statistics and Probability

1. A. C. Davison
2. Mathieu Ribatet
3. Simone A. Padoan
4. David Firth
5. Mehdi Mohammad Gholamrezaee
6. Laura Ventura
7. Nancy Reid
8. Walter Racugno

Citations in the corpus

• Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes (2009, methodology): “Motivated by the spatial extremes problem mentioned above, Smith and Stephenson (2009) use a pairwise likelihood and Markov chain Monte Carlo simulation to fit a max-stable model for rainfall at five sites in South-West England.”
• AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS (2011, methodology): “A related approach is followed by Smith and Stephenson (2009), where pairwise likelihood is used in place of the unfeasible ordinary likelihood for Bayesian inference in max-stable spatial processes.”
• Bayesian composite marginal likelihoods (2011, methodology): “…likelihoods can be helpful to Bayesian inference, inference based on composite marginal likelihoods has not been explored in a Bayesian setting; an exception here is Smith and Stephenson (2009), where a specific application to max-stable processes for modeling spatial extremes is discussed.”
• Statistical Modelling of Spatial Extremes (2012, methodology): “See also Smith and Stephenson (2009) and Ribatet et al. (2012), who use Bayes’ theorem and pairwise likelihood to fit extremal models to rainfall data.”
• Geostatistics of extremes (2012, methodology): “A (2012) applied to the modelling of rainfall data by Smith & Stephenson (2009), Padoan et al. (2010) and Davison et al. (in press); rainfall modelling with max-stable processes was also described by Buishand et al. (2008), and modelling of maxima of annual snow heights is described by Blanchet &…”
• Spatial modeling of extreme snow depth (2011, methodology): “This idea is also used by Davison and Gholamrezaee (2010), Davison, Padoan and Ribatet (2010) and by Smith and Stephenson (2009), the latter in a Bayesian framework.”
• Statistical Modeling of Spatial Extremes (2012, methodology): “See also Smith and Stephenson (2009) and Ribatet, Cooley and Davison (2012), who use Bayes’ theorem and pairwise likelihood to fit extremal models to rainfall data.”