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Biometrika, ISSN 0006-3444, 6/2013, Volume 100, Issue 2, pp. 511 - 518
Genton et al. (2011) investigated the gain in efficiency when triplewise, rather than pairwise, likelihood is used to fit the popular Smith max-stable model... 
Miscellanea | Smith model | Composite likelihood | Max-stable process | Pairwise likelihood | Brown-Resnick process | Triplewise likelihood | EXTREMES | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | MAX-STABLE PROCESSES
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 01/2015, Volume 77, Issue 1, pp. 239 - 265
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 03/2010, Volume 105, Issue 489, pp. 263 - 277
Journal Article
ADVANCES IN APPLIED PROBABILITY, ISSN 0001-8678, 12/2018, Volume 50, Issue 4, pp. 1155 - 1175
Brown-Resnick processes are max-stable processes that are associated to Gaussian processes. Their simulation is often based on the corresponding spectral... 
Gaussian process | variance reduction | max-stable process | spatial extremes | Brown-Resnick process | simulation | EXTREMES | ISOTROPIC CORRELATION-FUNCTIONS | variogram | STATISTICS & PROBABILITY | Mathematical problems | Domains | Algorithms | Simulation | Computer simulation | Representations
Journal Article
Journal of Hydrology, ISSN 0022-1694, 2011, Volume 406, Issue 1, pp. 119 - 128
Journal Article
Biometrika, ISSN 0006-3444, 06/2016, Volume 103, Issue 2, pp. 303 - 317
Max-stable processes play an important role as models for spatial extreme events. Their complex structure as the pointwise maximum over an infinite number of... 
Max-stable process | Extremal function | Spectral measure | Exact simulation | Extreme value distribution | DISTRIBUTIONS | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | INFERENCE
Journal Article
The Annals of Probability, ISSN 0091-1798, 9/2009, Volume 37, Issue 5, pp. 2042 - 2065
Journal Article
Annals of Applied Statistics, ISSN 1932-6157, 12/2016, Volume 10, Issue 4, pp. 2303 - 2324
The Brown-Resnick max-stable process has proven to be well suited for modeling extremes of complex environmental processes, but in many applications its... 
Likelihood-based inference | Partition | Max-stable process | Global warming | Nonstationary extremes | Space-time declustering | partition | OCCURRENCE TIMES | max-stable process | LIKELIHOOD INFERENCE | likelihood-based inference | GEOSTATISTICS | space-time declustering | STATISTICS & PROBABILITY | SIMULATION | nonstationary extremes
Journal Article
Biometrika, ISSN 0006-3444, 2015, Volume 102, Issue 1, pp. 215 - 230
Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they are widely adopted in applications. For a better... 
Random field | Composite likelihood | Spatial extreme | Max-stable process | Multivariate analysis | Cross-correlation | Extremal coefficient | STATISTICS & PROBABILITY | INFERENCE | CROSS-COVARIANCE FUNCTIONS | RANDOM-FIELDS | DEPENDENCE | RANDOM VECTORS | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | EXTREME VALUES
Journal Article
Biometrika, ISSN 0006-3444, 3/2013, Volume 100, Issue 1, pp. 111 - 124
Since many environmental processes are spatial in extent, a single extreme event may affect several locations, and the spatial dependence must be taken into... 
Max-stable process | Precipitation | Temperature | Conditional simulation | Markov chain Monte Carlo | Regular conditional distribution | SPATIAL EXTREMES | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | VALUES
Journal Article
Advances in Applied Probability, ISSN 0001-8678, 12/2018, Volume 50, Issue 4, pp. 1155 - 1175
Journal Article
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 11/2013, Volume 75, Issue 5, pp. 791 - 819
Journal Article
Biometrics, ISSN 0006-341X, 09/2019, Volume 75, Issue 3, pp. 831 - 841
Capturing the potentially strong dependence among the peak concentrations of multiple air pollutants across a spatial region is crucial for assessing the... 
Bayesian hierarchical modeling | air pollution | multivariate max‐stable process | extreme event | Reich‐Shaby model | multivariate max-stable process | Reich-Shaby model | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | INFERENCE | DEPENDENCE
Journal Article
Journal Article
Water Resources Research, ISSN 0043-1397, 02/2013, Volume 49, Issue 2, pp. 1079 - 1098
Key Points Analysis of extreme snowfall data using spatial extreme statistics Mapping of extreme snowfall water equivalent using max‐stable processes Obtaining... 
max‐stable processes | avalanche | mapping | snowfall | French Alps | extremes | ENVIRONMENTAL SCIENCES | MULTIVARIATE | WATER RESOURCES | VALUES | MODEL | LIMNOLOGY | RAINFALL | LIKELIHOOD | DEPENDENCE | Snow | Risk management | Maps | Life Sciences | Agricultural sciences
Journal Article
Bernoulli, ISSN 1350-7265, 11/2014, Volume 20, Issue 4, pp. 1717 - 1737
Journal Article
Journal of Applied Probability, ISSN 0021-9002, 09/2017, Volume 54, Issue 3, pp. 773 - 796
Extreme value theory for random vectors and stochastic processes with continuous trajectories is usually formulated for random objects where the univariate... 
Extreme value theory | max-stable process | semicontinuous process | copula | CONVERGENCE | STATISTICS & PROBABILITY | Theorems | Normalizing | Probability theory | Stochastic processes | Standardization | Integral transforms | Trajectories | Extreme values
Journal Article
Stochastic Processes and their Applications, ISSN 0304-4149, 09/2018, Volume 128, Issue 9, pp. 2952 - 2978
Journal Article