A max-stable process model for rainfall extremes at different accumulation durations
暂无分享,去创建一个
[1] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[2] B. Shaby,et al. Estimating Spatially Varying Severity Thresholds of a Forest Fire Danger Rating System Using Max-Stable Extreme-Event Modeling* , 2015 .
[3] Stephan R. Sain,et al. A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling , 2010 .
[4] Brian J Reich,et al. A HIERARCHICAL MAX-STABLE SPATIAL MODEL FOR EXTREME PRECIPITATION. , 2013, The annals of applied statistics.
[5] C. Gaetan,et al. A hierarchical model for the analysis of spatial rainfall extremes , 2007 .
[6] J. R. Wallis,et al. Regional Frequency Analysis: An Approach Based on L-Moments , 1997 .
[7] M. Lang,et al. Bayesian comparison of different rainfall depth–duration–frequency relationships , 2008 .
[8] Alan E. Gelfand,et al. Continuous Spatial Process Models for Spatial Extreme Values , 2010 .
[9] Gareth O. Roberts,et al. Convergence assessment techniques for Markov chain Monte Carlo , 1998, Stat. Comput..
[10] Leonhard Held,et al. Gaussian Markov Random Fields: Theory and Applications , 2005 .
[11] Bradley P. Carlin,et al. Markov Chain Monte Carlo conver-gence diagnostics: a comparative review , 1996 .
[12] A. Phatak,et al. Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change , 2016 .
[13] R. García-Bartual,et al. Estimating maximum expected short-duration rainfall intensities from extreme convective storms , 2001 .
[14] Alec Stephenson,et al. An extended Gaussian max-stable process model for spatial extremes , 2009 .
[15] Ildar Ibragimov,et al. On the Unimodality of Geometric Stable Laws , 1959 .
[16] D. Nychka,et al. Bayesian Spatial Modeling of Extreme Precipitation Return Levels , 2007 .
[17] S. Nadarajah,et al. Ordered multivariate extremes , 1998 .
[18] H. V. Vyver. Bayesian estimation of rainfall intensity-duration-frequency relationships , 2015 .
[19] A. Davison,et al. Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes , 2009, 0911.5357.
[20] Philip Heidelberger,et al. Simulation Run Length Control in the Presence of an Initial Transient , 1983, Oper. Res..
[21] S. Padoan,et al. Likelihood-Based Inference for Max-Stable Processes , 2009, 0902.3060.
[22] Demetris Koutsoyiannis,et al. A mathematical framework for studying rainfall intensity-duration-frequency relationships , 1998 .
[23] J. Tawn. Modelling multivariate extreme value distributions , 1990 .
[24] Martin Schlather,et al. Models for Stationary Max-Stable Random Fields , 2002 .
[25] Alan E. Gelfand,et al. Hierarchical modeling for extreme values observed over space and time , 2009, Environmental and Ecological Statistics.
[26] A. Stephenson. HIGH‐DIMENSIONAL PARAMETRIC MODELLING OF MULTIVARIATE EXTREME EVENTS , 2009 .
[27] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[28] D. Dey,et al. Simulation of Max-Stable Processes Marco Oesting, Mathieu Ribatet, and Cle´ment Dombry , 2016 .
[29] Bayesian hierarchical modelling of rainfall extremes , 2013 .
[30] S. Coles,et al. An Introduction to Statistical Modeling of Extreme Values , 2001 .
[31] A. Davison,et al. Statistical Modeling of Spatial Extremes , 2012, 1208.3378.
[32] Spatiotemporal hierarchical modelling of extreme precipitation in Western Australia using anisotropic Gaussian random fields , 2013, Environmental and Ecological Statistics.