Tukey max-stable processes for spatial extremes

Abstract We propose a new type of max-stable process that we call the Tukey max-stable process for spatial extremes. It brings additional flexibility to modeling dependence structures among spatial extremes. The statistical properties of the Tukey max-stable process are demonstrated theoretically and numerically. Simulation studies and an application to Swiss rainfall data indicate the effectiveness of the proposed process.

[1]  Ying Sun,et al.  OF SPATIAL EXTREMES : MEASURING SPATIAL DEPENDENCE AND MODELING SPATIAL EFFECTS , 2012 .

[2]  Chen Zhou,et al.  Extreme residual dependence for random vectors and processes , 2011, Advances in Applied Probability.

[3]  Marc G. Genton,et al.  Efficient maximum approximated likelihood inference for Tukey's g-and-h distribution , 2015, Comput. Stat. Data Anal..

[4]  T. Opitz,et al.  Extremal tt processes: Elliptical domain of attraction and a spectral representation , 2012, J. Multivar. Anal..

[5]  Mathieu Ribatet,et al.  Spatial extremes: Max-stable processes at work , 2013 .

[6]  N. Reid,et al.  AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS , 2011 .

[7]  Jonathan A. Tawn,et al.  A dependence measure for multivariate and spatial extreme values: Properties and inference , 2003 .

[8]  Laurens de Haan,et al.  Stationary max-stable fields associated to negative definite functions. , 2008, 0806.2780.

[9]  Jonathan A. Tawn,et al.  Dependence modelling for spatial extremes , 2012 .

[10]  Stefano Castruccio,et al.  High-Order Composite Likelihood Inference for Max-Stable Distributions and Processes , 2014, 1411.0086.

[11]  A. Davison,et al.  Composite likelihood estimation for the Brown–Resnick process , 2013 .

[12]  L. Haan,et al.  Extreme value theory : an introduction , 2006 .

[13]  Supplementary materials for “ Tukey gand-h Random Fields ” , 2016 .

[14]  S. Padoan,et al.  Likelihood-Based Inference for Max-Stable Processes , 2009, 0902.3060.

[15]  Anthony C. Davison,et al.  Statistics of Extremes , 2015 .

[16]  C. Varin,et al.  A note on composite likelihood inference and model selection , 2005 .

[17]  Marco Oesting,et al.  Exact simulation of max-stable processes. , 2015, Biometrika.

[18]  A. Davison,et al.  Statistical Modeling of Spatial Extremes , 2012, 1208.3378.

[19]  L. de Haan,et al.  A Spectral Representation for Max-stable Processes , 1984 .

[20]  M. Penrose Semi-Min-Stable Processes , 1992 .

[21]  Martinez Jorge,et al.  Some properties of the tukey g and h family of distributions , 1984 .

[22]  Sidney I. Resnick,et al.  Extreme values of independent stochastic processes , 1977 .

[23]  Simone A. Padoan,et al.  Extreme dependence models based on event magnitude , 2013, J. Multivar. Anal..

[24]  Marco Oesting,et al.  Simulation of Max-Stable Processes , 2015 .

[25]  Mathieu Ribatet,et al.  Conditional simulation of max-stable processes , 2012, 1208.5376.

[26]  H. L. Mac Gillivray,et al.  Shape properties of the g-and-h and johnson families , 1992 .

[27]  Marc G. Genton,et al.  Tapered composite likelihood for spatial max-stable models , 2014 .

[28]  M. Genton,et al.  Multivariate extended skew-t distributions and related families , 2010 .

[29]  Marc G. Genton,et al.  Non-Stationary Dependence Structures for Spatial Extremes , 2014, 1411.3174.

[30]  Martin Schlather,et al.  Models for Stationary Max-Stable Random Fields , 2002 .

[31]  Raphael Huser,et al.  Space–time modelling of extreme events , 2012, 1201.3245.

[32]  William Q. Meeker,et al.  An algorithm to compute the cdf of the product of two normal random variables , 1994 .

[33]  Marco Oesting,et al.  Simulation of Brown–Resnick processes , 2012 .

[34]  Aristidis K. Nikoloulopoulos,et al.  Extreme value properties of multivariate t copulas , 2009 .

[35]  Anthony C. Davison,et al.  Geostatistics of extremes , 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[36]  Carlo Gaetan,et al.  Composite likelihood methods for space-time data , 2006 .

[37]  Marc G. Genton,et al.  On the likelihood function of Gaussian max-stable processes , 2011 .

[38]  D. Cox,et al.  A note on pseudolikelihood constructed from marginal densities , 2004 .